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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika Jurnal Informatika Jurnal sistem informasi, Teknologi informasi dan komputer Seminar Nasional Informatika (SEMNASIF) SMATIKA KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI J I M P - Jurnal Informatika Merdeka Pasuruan INTECOMS: Journal of Information Technology and Computer Science JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Mantik Progresif: Jurnal Ilmiah Komputer E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Komputer & Kecerdasan Buatan Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Applied Data Sciences IAIC Transactions on Sustainable Digital Innovation (ITSDI) KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika Teknologi dan Sains (Jinteks) Eduvest - Journal of Universal Studies Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian Masyarakat Nasional Jurnal Sistem Informasi dan Teknologi Informasi International Journal of Computer Science and Humanitarian AI Smatika Jurnal : STIKI Informatika Jurnal Jurnal Informatika
Septi Andryana
Universitas Nasional
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Public Health Social Sciences

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Improving MCDM University Rankings through Statistical Validation Using Spearman’s Correlation and THE Benchmark Andryana, Septi; Mantoro, Teddy; Gunaryati, Aris; Raffliansyah, Alfarizky Esah
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.796

Abstract

The evaluation of higher education institutions is a critical field for informing data-driven policy and institutional benchmarking. A key problem in this area is the lack of transparency and consistency in university rankings, particularly when using Multi-Criteria Decision-Making (MCDM) methods such as MABAC and MAIRCA, with limited research on how weighting techniques affect the reliability and alignment of these rankings with international standards like the Times Higher Education (THE) Rankings. This study proposes the use of MABAC and MAIRCA methods combined with two weighting techniques—Rank Order Centroid (ROC) and Rank Sum (RS)—to assess 20 top Indonesian universities based on five performance indicators: research quality, research environment, teaching, industry, and international outlook. Spearman’s rank correlation is used to compare the MCDM-generated rankings with THE Rankings 2025. The study contributes empirical evidence on the impact of weighting schemes on the consistency and reliability of university rankings and demonstrates that the MAIRCA-ROC method achieves the highest agreement with THE Rankings, with a correlation coefficient of 0.8135 and a p-value of 0.00001. These results validate the use of MCDM methods in higher education evaluation and emphasize the importance of selecting appropriate weighting techniques to develop transparent and robust ranking frameworks that support evidence-based policy decisions.
Pemberdayaan Petani Kopi Manggarai Timur melalui Optimisasi Pemasaran Berbasis Website Interaktif Andryana, Septi; Teddy Mantoro; Ben Rahman; Aris Gunaryati; Mohammad Iwan Wahyuddin; Abdul Rahman Wijaya Putra
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 3 (2025): Agustus
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v4i3.223

Abstract

Indonesia is one of the world's leading coffee producers, offering a wide variety of flavors and characteristics across its regions, including the eastern part of the archipelago. One promising area is Rende Nao Village, located in Lamba Leda Timur District, East Manggarai Regency, which is known for its Colol coffee. Despite its high quality and strong market potential, the use of digital media for marketing remains limited. The East Manggarai Coffee Farmers Association (ASNIKOM) has established an official website; however, low levels of digital literacy and ineffective content management hinder efforts to expand market reach and build a strong digital product identity. In response to these challenges, this community engagement program was conducted to introduce the concept of an interactive website as an initial strategy to enhance the digital marketing capacity of local coffee farmers. The program employed a participatory and educational approach, involving discussions, needs assessments, and demonstrations of basic website features. Rather than focusing on advanced technical training, the initiative emphasized conceptual understanding and content planning based on local input. As a result, the program increased awareness of the potential of digital marketing and led to the development of an initial strategy for ASNIKOM’s website, laying the foundation for strengthening farmers’ digital competencies as an adaptive step toward sustainable and technology-based coffee marketing practices.
Enhancing Coffee Marketing Strategies through Multi-Criteria Decision-Making Andryana, Septi; Wahyuddin, Mohammad Iwan; Rahman, Ben; Putra, Abdul Rahman Wijaya; Mantoro, Teddy
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3282

Abstract

Coffee is a globally preferred beverage, and Indonesia, as a major supplier, provides a wide variety of high-quality coffee varieties with unique characteristics from each region. East Manggarai, East Nusa Tenggara, Indonesia, produces Colol coffee, a high-quality variety with unexplored market potential. The marketing of Colol coffee faces significant challenges, including limited accessibility, lack of market information, and inadequate logistics infrastructure. A comprehensive marketing strategy necessitates the consideration of numerous criteria, which generate a range of alternative decisions to identify the marketing area. This study proposes a framework to optimize the marketing strategy of Colol coffee using the MCDM (Multi-Criteria Decision-making) approach, which integrates AHP, SMARTER, and TOPSIS methods. This framework is applied to rank marketing areas in 38 provinces in Indonesia based on five criteria, namely, accessibility, market potential, logistics, environmental conditions, and safety. The results show that the MCDM method can increase the effectiveness of marketing strategies. The top three alternative coffee marketing regions are Papua, East Kalimantan, and South Papua, with eigenvalues of 0.0569, 0.0424, and 0.0421. With incomplete data, in some marketing areas, it is a challenge to integrate multiple MCDM methods to have a better ranking that represents the real world of marketing strategy. This study supports the enhancement of the digital economy in the agricultural sector. It provides a meaningful understanding of the application of MCDM in marketing agricultural products, with far-reaching implications for marketing strategies in similar sectors.
PELATIHAN DASAR PEMBUATAN BANNER DAN SERTIFIKAT DENGAN APLIKASI CANVA BAGI SISWA SMA MUHAMMADIYAH 4 JAKARTA Rahman, Ben; Andryana, Septi; Gunaryati, Aris
Jurnal Pengabdian Masyarakat Nasional Vol 4, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v4i2.29949

Abstract

Pelatihan ini dirancang untuk meningkatkan keterampilan siswa SMA Muhammadiyah 4 Jakarta dalam menggunakan aplikasi Canva untuk membuat banner dan sertifikat secara mandiri. Canva, sebagai aplikasi desain grafis berbasis online, menawarkan kemudahan akses dan penggunaan bagi para siswa, memungkinkan mereka untuk menghasilkan karya desain yang menarik guna mendukung berbagai kegiatan sekolah, seperti acara resmi, presentasi, atau publikasi internal. Dalam pelatihan ini, siswa diajarkan langkah-langkah dasar dalam pembuatan desain grafis, dengan fokus pada elemen-elemen penting seperti estetika, komposisi warna, tata letak, serta fungsi desain yang relevan untuk kebutuhan sekolah. Selain itu, siswa diberikan panduan praktis tentang cara menggunakan fitur-fitur Canva secara efektif, mulai dari memilih template, menambahkan teks dan gambar, hingga menyusun elemen desain yang harmonis dan fungsional. Dari total 30 peserta yang mengikuti pelatihan, lima desain terbaik dipilih oleh instruktur berdasarkan kriteria seperti kreativitas, kerapihan, dan kesesuaian desain dengan tema yang diberikan. Selain meningkatkan keterampilan teknis, pelatihan ini juga bertujuan untuk mendorong siswa agar lebih percaya diri dalam mengekspresikan kreativitas mereka di bidang desain grafis. Harapannya, siswa dapat menggunakan keterampilan ini untuk mendukung berbagai kegiatan sekolah serta mengembangkan minat mereka dalam dunia desain secara lebih mendalam di masa mendatang.
ALGORITMA MD5 PADA SISTEM INVENTORY DENGAN METODE AGILE A. Yusuf, Ridwan; Andryana, Septi
e-Jurnal JUSITI (Jurnal Sistem Informasi dan Teknologi Informasi) Vol. 12 No. 2 (2023): e-Jurnal JUSITI
Publisher : Universitas Dipa Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36774/jusiti.v12i2.1434

Abstract

Segala aktivitas dalam era digital 5.0 ini tak lepas dari teknologi komunikasi dan informatika. Dengan bantuan internet, segala sesuatu dapat terhubung secara terus-menerus. Berkat kemajuan pesat teknologi informasi dan penyebaran internet secara global, setiap orang dapat menggunakan internet dan mengakses informasi. Namun, hal ini juga membawa dampak negatif terhadap keamanan data dan privasi, di mana data dan privasi bisa dengan mudah dieksploitasi di dunia maya, terutama bagi perusahaan yang memiliki sistem informasi inventaris yang berisi data barang yang bersifat pribadi dan tidak boleh diakses sembarang orang. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan penerapan keamanan data dan privasi digital. Penelitian ini menggunakan algoritma MD5 untuk mengenkripsi data dan Sistem Peringatan Dini yang bertujuan untuk memberikan peringatan jika stok tersedia mendekati batas minimum yang ada.
Algoritma Md5 Pada Sistem Inventory Dengan Metode Agile A. Yusuf, Ridwan; Andryana, Septi
e-Jurnal JUSITI (Jurnal Sistem Informasi dan Teknologi Informasi) Vol. 13 No. 1 (2024): e-Jurnal JUSITI
Publisher : Universitas Dipa Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36774/jusiti.v13i1.1558

Abstract

Segala aktivitas dalam era digital 5.0 ini tak lepas dari teknologi komunikasi dan informatika. Dengan bantuan internet, segala sesuatu dapat terhubung secara terus-menerus. Berkat kemajuan pesat teknologi informasi dan penyebaran internet secara global, setiap orang dapat menggunakan internet dan mengakses informasi. Namun, hal ini juga membawa dampak negatif terhadap keamanan data dan privasi, di mana data dan privasi bisa dengan mudah dieksploitasi di dunia maya, terutama bagi perusahaan yang memiliki sistem informasi inventaris yang berisi data barang yang bersifat pribadi dan tidak boleh diakses sembarang orang. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan penerapan keamanan data dan privasi digital. Penelitian ini menggunakan algoritma MD5 untuk mengenkripsi data dan Sistem Peringatan Dini yang bertujuan untuk memberikan peringatan jika stok tersedia mendekati batas minimum yang ada.
Experd System of Obesity Diagnosis Using Backward Chaining Method and Certain Factor Wattimena, Fegie Yoanti; Koibur, Reni; Mamisala, Dion R A; Andryana, Septi
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 1 No 2 (2020): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v1i2.106

Abstract

Obesity is a medical condition in the form of excess body fat that accumulates in such a way as to have a detrimental impact on health, which then decreases life expectancy and or increases health problems. Obesity is now a common health problem in this modern society with a variety of technological discoveries that make people don't need to move a lot to do something, resulting in people living a lifestyle without much Move. Researchers feel the need for an expert system application that can easily diagnose obesity with everyone just by modalizing simple applications on people's smartphones. The expert system that is built will diagnose early obesity disease by method of drawing inferences using backward chaining method and to test the level of belief conclusions using certainity factor method. The system will be able to provide output in the form of obesity diagnosis, explanation, tips and advice on obesity handling solutions. System development Methods using ESDLC (Expert System Development Life Cycle). The system is built on Android.
ENHANCING COFFEE PRODUCTION FACTOR ASSESSMENT USING LINEAR REGRESSION AND AHP FOR RELIABLE WEIGHT CONSISTENCY Aris Gunaryati; Teddy Mantoro; Septi Andryana; Benrahman; Mohammad Iwan Wahyuddin
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6788

Abstract

The agricultural sector, particularly coffee production, plays a crucial role in Indonesia’s economy as both a domestic commodity and an export product. However, efforts to optimize coffee production are often constrained by traditional Multi-Criteria Decision-Making (MCDM) methods that rely heavily on subjective judgments, leading to potential inconsistencies—especially in the presence of multicollinearity among variables. This study addresses that challenge by proposing a data-driven and consistent weighting method that integrates Multiple Linear Regression (MLR) with the Analytic Hierarchy Process (AHP). Regression coefficients derived from MLR—based on variables such as the area of immature (-0.2419), mature (0.8357), and damaged (0.5119) coffee plantations—are normalized and incorporated into the AHP pairwise comparison matrix. The resulting Consistency Ratio (CR) values are all below 0.1, indicating high internal consistency and statistical reliability of the derived weights. This integrated approach offers an objective and systematic foundation for MCDM in coffee production analysis, enhances the accuracy of agricultural planning, and supports evidence-based policymaking, while also providing a replicable model for addressing similar challenges in other sectors
Perancangan User Experience Aplikasi Pendaftaran Kunjungan Puskesmas Menggunakan Metode User Experience Lifecycle Sita Widad Muqsithoh; Septi Andryana; Ira Diana Sholihati
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 12 No 01 (2022): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v12i01.583

Abstract

The health sector is one of the important sectors of the government which has the potential to be improved by the presence of information technology. The public health center of East Ciputat District, which is one of the health service centers in the South Tangerang City, always improves the technology development. The large number of patient visits it causes problems with queuing visits which take a relatively long time when registering at the service counter. The advantage of the User Experience Lifecycle method that is applied to the development process of the mobile public health center visit online registration application starts from the analysis stage that understands user needs through the data collection method. The design stage involves making Wireframe. The design results are implemented in the form of a mobile based High-Fidelity Prototype and the results are tested using the System Usability Scale (SUS). The prototype evaluation can show the overall results of the application successfully helping users in the efficiency of online registration visitors.
Prediksi Pengadaan Stok Produk Menggunakan Algoritma Single Moving Average Dan Single Exponential Smoothing Septi Andryana; Muhammad Iqbal Nasution; Albaar Rubhasy
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.918

Abstract

Information systems and technology have a crucial role in people's lives because they help make effective decisions. Reliability in predicting Vape sales of liquid products is a priority to improve Vape shop services and profits. However, Vape Industrial does not yet have a method for forecasting the future sales of liquid goods, causing some liquids to experience an excess or shortage. In this study, an application was developed to predict the amount of stock needed in the next period. Consumer transaction data in the previous period were analyzed using the Single Moving Average and Single Exponential Smoothing algorithms. The two algorithms are compared based on the results of error calculations in choosing the right algorithm for product stock prediction. The test results show that this application is successful in predicting Besti Matcha's liquid stock well. For the daily period, the Single Exponential Smoothing algorithm with the alpha 0.2 method gives the right prediction results, with predictions of selling 1 product and an error value of 0%. As for the weekly period, the Single Moving Average algorithm with 5 periods gives predictive results of 5 products sold and an error value of 25%. For the monthly period, Single Exponential Smoothing with an alpha of 0.2 gives prediction results of 21 products sold and an error value of 10.5%. With this application, it is hoped that Vape Industrial can be effective in predicting stock requirements for the next period and avoiding excess product losses.
Co-Authors A. Yusuf, Ridwan Abdul Rahman Wijaya Putra Achmad Benny Mutiara Achmad Riyadi Aditya Pratama Aditya Pratama Adryan Syahputra Agung Sembiring Agus Iskandar Ahmad Fahreza Aji Afani Maldini, Muhamad Aji Putra Wicaksana Akbar Mulia Ardiansyah Alam Supriyadi Albaar Rubhasy Albaar Rubhasy Aldisa, Rima Tamara Aldjawad, Mohamad Alfarizky Esah Raffliansyah Alfi Nur Rahmawan Ali, Muhammad Rifqi Alma Bryan Fitri Finika Andani, Angela Nerci Andrianingsih Andrianingsih Angga Pradihta Anugrah Putra, Mandala Aprilia Tika Rahayu Apriliani Wulandari Arif Setyo Pambudi Aris Gunaryat Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati Aris Gunaryati, Aris Avicienna Adhi Narendro Purnomo Azharandi, Nadhif badriawan sukma Bagus Tegar Dwi Irianto Bagus Widiyanto Bayu Setyawan Ben Rahman Ben Rahman Benrahman Benrahman Bimo Anggoro Seno Bimo Salasa Putra Budi Dwi Kurniawan Caniago, Diana Deny Hidayatullah Deny Hidayatullah Dewantoro, Danang Dhani Farhansyah Diana Caniago Dicky Pradana Abdulrahman Julianto Dwi Yulian Rizki Saputra Era, Defrimont Eri Mardiani Ernastuti Ernastuti Esah Raffliansyah, Alfarizky Farhany, Nadia Muis Fauziah Fauziah Febfiyana Febfiyana Fendy Sulistyo Ferdi Setyo Handika Finika, Alma Bryan Fitri Freddy Artadima Silaban Ghifari Yusuf Abdillah Gio Fandi H Nainggolan Guntur Wicaksono Gusti Karnawan Haris Amanullah Ikbal Danu Setiawan Ina Agustina Ira Diana Sholihati Ira Diana Sholihati irfan muttaqim Istiarati Ayustina Anjaswari Janubiya, Tasya Khaerani Jhovie Afriyany Koibur, Reni Krisna Ruliyanto Lili Dwi Yulianto Lukman Medriavin Silalahi M Alwi Saepul Zaman Mahendra, Wahyu Eka Mamisala, Dion R A Maurizka Zahra Devita Mikhael Kristian Misria Attanggo Mochamad Naufal Shofy Mohamad Aldjawad Mohamad Didit Supriyadi Mohammad Iwan Wahyuddin Mohammad Iwan Wahyuddin Muhamad Afriyan Kahfi Muhamad Fajar Suprapto Muhammad Ibrahim Adham Karim Muhammad Ikbal Muhammad Ikbal Muhammad Iqbal Nasution Muhammad Reza Akbar Muhammad Rifqi Ali Muhammad Taufiq Ismail Mursyid Salim Nadhif Azharandi Nadia Aulia Nadila, Tika Aenun Naif Farhan Naqiyah, Shofy Navita Putri Purwanti Nur Hayati Nur Widya Pratiwi Nur, Ridwan Pramesti Sifa Aisya Nuha Pratiwi, Ridha Prihandoko . Puspita, Anna Thasyia Putra, Abdul Rahman Wijaya Putra, Ricky Syah Raffliansyah, Alfarizky Esah Rafli Ramadhan Gunawan RAHAYU, FAJAR Rahman, Ben Rahmat Azyad Samallo Ratih Titi Komala Sari, Ratih Titi Komala Ratih Titi Komalasari Rehan Aria Khalif Resa Wahyu Adi Pujianto Ricky Syah Putra Ridwan Baharudin Ridwan Nur Rifqi Firmansyah Rifqi Zulfikar Rima Tamara Aldisa Rima Tamara Aldisa Rivan Wahyuda Riyadi, Achmad Rizal Maulana Yusuf Effendi Rizki Insani Maulana Ryan maulana Sari Ningsih Selamet Kurniawan Setia Sri Anggraeni Setiawan, Muhammad Afif Setiyo Budiyanto Sholihati, Ira Diana Shynta Octavia Sita Widad Muqsithoh Supriyadi, Alam Supriyadi, Mohamad Didit Syahbani Farhan Syahputra, Adryan Teddy Mantoro Teddy Mantoro Teddy Mantoro Teguh Riyono Adi Tika Aenun Nadila Topan Yulianto Ucuk Darusalam Wafiqah Setyawati Wahyuni Wahyu Eka Mahendra Wahyuddin, Mohammad Iwan Wattimena, Fegie Yoanti Winarsih Winarsih Winarsih Winarsih Winarsih Winarsih Yuda Aji Pramukti Yusril Adam Mahendra Yusuf Effendi, Rizal Maulana Zaman, M Alwi Saepul