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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Majalah Ilmiah MOMENTUM JOIN (Jurnal Online Informatika) Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Electro Luceat Jurnal Informatika Universitas Pamulang Jurnal Teknoinfo Jurnal Tekno Kompak Building of Informatics, Technology and Science INTI Nusa Mandiri JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Journal Social Science And Technology For Community Service J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Telematics and Information Technology (TELEFORTECH) Journal of Engineering and Information Technology for Community Service Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Informatika: Jurnal Pengembangan IT Jurnal Media Celebes Jurnal Media Jawadwipa Jurnal Padamu Negeri
Andi Nurkholis
Universitas Teknokrat Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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PENERAPAN TEKNOLOGI GLOBAL POSITIONING SYSTEM (GPS) PADA APLIKASI PRESENSI BERBASIS ANDROID (STUDI KASUS: SMA NEGERI 2 OKU TANZANIA) Prasetyo, Aditya Dwi; Pasaribu, A.Ferico Octaviansyah; Nurkholis, Andi
TELEFORTECH : Journal of Telematics and Information Technology Vol 2, No 2 (2021): TELEFORTECH VOL 2 No. 2 (JANUARI 2022)
Publisher : Fakultas Teknik dan Ilmu Komputer, Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/tft.v2i2.3705

Abstract

Sekolah Menengah Atas (SMA) Negeri 2 Oku Tanzania memiliki masalah yang berkaitan dengan Pencatatan absen siswa yang saat ini dilakukan secara manual di atas kertas dapat diperbaiki, sehingga dapat meningkat mutu pengolahan data presensi, mutu layanan dan sistem di Sekolah.Penelitian ini bertujuan membangun aplikasi Absensi berbasis Android yang dapat digunakan pada perangkat handphone guru dan siswa. Terdapat banyak cara untuk menyelesaikan permasalahan saat ini, salah satunya membuat sistem aplikasi absensi berbasis lokasi dengan memanfaatkan fitur GPS yang dapat digunakan pada Android. Bahasa pemograman yang digunakan dalam pembangunan sistem adalah Java dan PHP (PHP: Hypertext Preprocessor) menggunakan react native dengan tools Android Studio & Visual Studio sebagai editor penulisan code Java dan PHP, HTML. Dengan demikian, dengan adanya penelitian ini  dapat  membantu  Sekolah  dan  Siswa  dalam  memudahkan Siswa dalam melakukan kegiatan absensi secara akurat. Dalam penelitian yang akan dilakukan menggunakan metode Rapid Application Development (RAD) dan untuk menguji kelayakan sistem menggunakan metode ISO 25010. Penelitian ini berhasil dengan mendapatkan penilaian   sebesar   100%   untuk   pengujian functional   suitabilitysehingga   mendapatkan   predikat presentase Sukses/Berhasil, dan predikat presentase Sangat Baik dengan angka presentase 94.67% untuk pengujian usability dari responden yang mengacu pada pengujian sistem ISO 25010 dengan menggunakan tabel penilaian Skala Likert. Kata Kunci: Absensi,GPS,RAD,MySQL,ISO 25010 
JWT AUTHENTICATION UNTUK KEAMANAN WEB SERVIS E-COMMERCE (CV JASTRA CARD) Roihan, Muhammad; Nurkholis, Andi; Pasha, Donaya; Koeswara, Wawan; Dalimunthe, Ernando Rizki
TELEFORTECH : Journal of Telematics and Information Technology Vol 5, No 1 (2024): TELEFORTECH VOL 5, NO 1 (JULI 2024)
Publisher : Fakultas Teknik dan Ilmu Komputer, Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/tft.v5i1.4588

Abstract

Pelayanan sistem e-commerce CV. Jastra Card kurang aman, terutama untuk transaksi data antar jaringan. Penelitian ini bertujuan untuk memberikan keamanan dan distribusi yang efektif pada web service e-commerce yang menggunakan JSON Web Token dengan algoritma HMAC-SHA 512 serta dikombinasikan dengan metode refreshing token authentication pada CV Jastra Card, yang merupakan salah satu cara untuk melindungi kerahasiaan dan integrasi data. Penelitian ini menggunakan metode pengembangan aplikasi cepat yang mencakup fase rencana, desain pengguna, pembangunan, dan cutover. Hasil penelitian ini menunjukkan bahwa token web JSON dapat melindungi autentikasi akun pengguna saat menggunakan framework Django yang berbasis Python untuk mengembangkan sistem web service. Karena refreshing token memiliki kemampuan untuk memberikan akses selama masa hidup token dan memiliki kemampuan untuk memblokir token yang sudah expired, penggunaan refreshing token lebih efektif daripada akses token biasa.
Distribution Model of Personal Protective Equipment (PPE) Using the Spatial Dominance Test and Decision Tree Algorithm Purwayoga, Vega; Yuliyanti, Siti; Nurkholis, Andi; Gunawan, Harry; Sokid, Sokid; Kartini, Nuri
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2471

Abstract

The COVID-19 case has developed positively, but preventive measures must be taken to anticipate SARS-CoV-2 mutations. Anticipation can include policies, preparing health workers, and providing personal protective equipment. Personal Protective Equipment (PPE) availability is a big challenge in handling pandemics, especially COVID-19. The level of need for PPE in an area depends on the number of COVID-19 cases. This research provides a solution to overcome the availability of PPE by applying the concept of cross-regional collaboration. Areas with low COVID-19 case rates can help areas with high COVID-19 case rates by sending PPE assistance. Implementing the cross-regional collaboration concept is assisted by the spatial dominance test algorithm, namely the spatial skyline query. Spatial Skyline Query works by searching for the most ideal area. The ideal area is an area with low COVID-19 case criteria. The low number of positive cases, death cases, probable cases, and close contact cases supports the low number of COVID-19 cases. Areas with the highest number of recovered cases are also priorities. The SSQ model was developed into two models for searching priority areas for PPE assistants. The first model is Sort Filter Skyline 1 (SFS1), and the second is Sort Filter Skyline 2 (SFS2). SFS1 is a form of SFS algorithm optimization that searches for the best 50% of all regions. SFS2 modifies SFS1 by selecting areas whose distance is <= the average distance of the area to the Health Crisis Centre of the Ministry of Health of the Republic of Indonesia. This research involves searching for priority areas and applying a prediction algorithm to extract knowledge built from the prediction model. The algorithm used is C5.0. The data used to apply the prediction algorithm results from the application of SFS1 and SFS2. The results of testing the prediction model by the C5.0 algorithm produced an accuracy of 77.26% for SFS1 data and 92.01% for SFS2. The average rules resulting from the C5.0 algorithm are three for SFS1 and two for SFS2.
Penerapan Extreme Programming dalam Pengembangan Sistem Informasi Manajemen Pelayanan Publik Nurkholis, Andi; Susanto, Erliyan Redy; Wijaya, Suhenda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (997.744 KB) | DOI: 10.30645/j-sakti.v5i1.304

Abstract

Sukarame District serves public administration activities such as information on population data and mail administration services. The conventional process currently running in Sukarame District only uses Microsoft Office for data storage so that it cannot be accessed by people in real-time. As a solution to the problem, we need a system that can help public service management to manage population data, public complaints, and service letters such as environmental permits, electricity subsidy permits, and business permits. This system was developed with the extreme programming development method with system design using a unified modeling language, namely use case diagram, class diagram, and activity diagram. To assess the feasibility of the system, testing was carried out using the black-box method which resulted in an accuracy of 100%, so that this system was fit for use functionally.
Analisis Pola Transaksi Pelanggan Menggunakan Algoritme Apriori Styawati, S; Nurkholis, Andi; Anjumi, Krisma Nur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.362

Abstract

Diengva is a shop that sells various kinds of goods such as household items, household appliances, accessories, flower buckets, clothes, bags, shoes, cosmetics, and others. The large number of purchase transaction data in diengva can be used to analyze customer behavior in purchasing goods. Apriori algorithm is one of the algorithms in the field of data mining for extracting association rules. This study applies the apriori algorithm to find customer buying patterns in diengva store sales transaction data using rapid miner. The rules resulting from the application of the apriori algorithm can be used as a basis for stocking items that meet the minimum support and minimum confidence values. Items that meet these rules are eyelashes, eyelash glue, soft lens, and soft lens water. The confidence value of the relationship between two items can be high so that the results of these rules can be used as the basis for stocking.
Sistem Persediaan Obat Menggunakan Metode Moving Average Dan Fixed Time Period With Safety Stock Nurkholis, Andi; Oktora, Putri Suci
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.522

Abstract

The Rahman Pharmacy business process is currently still running manually, namely recording the name, number, and price of the medicine purchased from the supplier into a piece of paper and then calculating using a calculator based on the purchase. In the business process, there are still errors when recapitulating daily transactions caused by paper notes is lost. So far, Apotek Rahman often runs out of merchandise, which can disappoint buyers. Another problem faced by Apotek Rahman is that medicine can accumulate. It can be detrimental because they have not implemented an inventory control system. This study aims to develop a website-based inventory information system to help Rahman Pharmacy manage computerized medicine data so that the work of managing incoming medicine, outgoing medicine, and the process of updating stock items becomes more effective. To produce medicine inventory recommendations, the moving average and fixed time period with safety stock methods are used. Each interested user can easily access every report on the purchase and sale of medicine. The system will provide updated stock information to consider when ordering medicines. In addition, the system can also provide recommendations for the procurement process so that it can be known when to order medicine based on the safety stock method, how many items are ordered, and provide the cost of inventory every time an item is purchased.
APLIKASI AUGMENTED REALITY MENGGUNAKAN METODE MARKERLESS UNTUK PROMOSI UNDANGAN BERBASIS MOBILE Nurkholis, Andi; Megawaty, Dyah Ayu; Irsan, Aqilla Hattami
Jurnal Teknoinfo Vol 19, No 1 (2025): January 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v19i1.4597

Abstract

Pelayanan dan pengelolaan informasi pada percetakan CV. Jastra card sejauh ini masih menggunakan cara konvensional untuk mempromosikan percetakan undangan pelanggan datang ke percetakan untuk melihat undangan yang tersedia. Promosi konvensional tersebut menghadapi beberapa tantangan, seperti halnya biaya yang tinggi, terbatasnya jangkauan, serta perkembangan tren digital. Dengan semakin berkembangnya teknologi dan penetrasi internet, banyak orang beralih ke media digital untuk mencari informasi dan produk. Promosi konvensional kurang efektif dalam menjangkau target pasar yang lebih muda atau lebih terhubung secara digital. Untuk mengatasi permasalahan ini, bisnis undangan dapat mempertimbangkan strategi promosi yang lebih terarah dan efektif. Beberapa contoh strategi yang bisa diterapkan adalah memanfaatkan pemasaran digital, beriklan secara online melalui suatu platform yang interaktif, seperti halnya teknologi augmented reality. Penelitian ini bertujuan membangun Aplikasi Augmanted reality berbasis mobile menggunakan metode markerless sebagai media promosi, mempermudah pelanggan, menghemat waktu dan biaya. Sistem dibangun menggunakan metode pengembangan waterfall dengan memanfaatkan beberapa perangkat lunak tambahan, yakni Unity 3D, Sketchup dan Blender. Kelayakan sistem berhasil memperoleh penilaian dengan predikat Sangat Baik yang merupakan representasi dari Skala Likert dari pengujian ISO 25010 yang mencakup aspek functional suitability mencapai 100% dan aspek usability mencapai 91.2%.
Prediction Model for Soybean Land Suitability Using C5.0 Algorithm Nurkholis, Andi; Styawati, Styawati
JOIN (Jurnal Online Informatika) Vol 6 No 2 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i2.711

Abstract

Soybean is one of the protein main sources that can be used for consumption in tempeh, tofu, milk, etc. Based on projection results, soybean production and consumption balance in Indonesia, in 2018-2022, it is estimated that deficit will increase by 6.18% per year. So, it's necessary to guide soybean land suitability, which can be carried out by evaluating existing land suitability to support soybean farming expansion and production. This study conducted an analytical study to evaluate soybean land suitability using C5.0 algorithm based on land and weather characteristics. The C5.0 algorithm is an extension of spatial decision tree, an ID3 decision tree extension. Dataset is divided into two categories: explanatory factors representing seven land characteristics (drainage, land slope, base saturation, cation exchange capacity, soil texture, soil pH, and soil mineral depth) and two weather data (rainfall and temperature), and a target class represent soybean land suitability in two study areas, namely Bogor and Grobogan Regency. The result generated two land suitability models with the best model obtained accuracy for training data 98.58%, while testing data was 97.17%. The best model rules are 69 rules that do not involve three attributes: cation exchange capacity, soil mineral depth, and rainfall.
Penerapan Aplikasi Mobile Company Profile Tambang Batu Andesit Pada CV Handika Karya Nurkholis, Andi; Sakti, Hakim Erlangga Bernado; Rahayu, Ririn Wuri; Firmansyah, Ilham
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 6, No 1 (2025): Volume 6, Nomor 1, March 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v6i1.4909

Abstract

Di era digital saat ini, kehadiran teknologi mobile telah mengubah cara perusahaan berkomunikasi dengan pelanggan dan pemangku kepentingan. CV. Handika Karya, sebuah perusahaan penambangan batu andesit yang masih menjalankan sistem manajemen secara konvensional, dapat memanfaatkan aplikasi mobile company profile untuk meningkatkan visibilitas, mempromosikan praktik penambangan yang berkelanjutan, mengedukasi masyarakat, serta meningkatkan daya saing. Kegiatan pengabdian kepada masyarakat yang dilakukan oleh tim dosen Universitas Pembangunan Nasional "Veteran" Yogyakarta bertujuan untuk menerapkan aplikasi mobile company profile sebagai solusi strategis dalam menghadapi tantangan digitalisasi. Melalui tahapan observasi, pelaksanaan, dan pelaporan, tim PKM mengembangkan aplikasi yang memungkinkan CV. Handika Karya menampilkan informasi penting seperti profil perusahaan, produk batu andesit, proses penambangan ramah lingkungan, serta program tanggung jawab sosial secara digital. Implementasi aplikasi ini memberikan manfaat signifikan termasuk peningkatan transparansi, kemudahan akses informasi, partisipasi masyarakat dalam pengawasan, edukasi industri tambang, pengembangan ekonomi lokal, dan peningkatan kualitas komunikasi. Kegiatan ini mendapat respons sangat positif dari perusahaan, ditunjukkan dengan partisipasi aktif karyawan dan penyediaan fasilitas yang diperlukan, serta terbukti efektif berdasarkan hasil kuesioner kepuasan dan kemudahan penggunaan. Bagi tim dosen, program ini menjadi wadah untuk mengaplikasikan ilmu pengetahuan dan berkontribusi kepada masyarakat melalui pengembangan solusi teknologi informasi yang inovatif.
Firefly Algorithm for SVM Multi-class Optimization on Soybean Land Suitability Analysis Nurkholis, Andi; Styawati, Styawati; Suhartanto, Alvi
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.1860

Abstract

Soybean is the primary source of vegetable protein nutrition, containing fat and vitamins that Indonesian people widely consume. The decline in soybean production in Indonesia every year is due to the reduced area of soybean cultivation, thereby increasing dependence on imports from other countries. Land suitability maps can provide directions for priority locations for soybean cultivation based on land characteristics and weather to produce optimal production. The SVM multi-class algorithm has been applied to classify land suitability data to create a land suitability map but has yet to obtain optimal accuracy, especially for sigmoid kernels. The objective of this study is to enhance the performance of the sigmoid kernel SVM by utilizing the firefly algorithm. The study focuses on evaluating the suitability of soybean cultivation in Bogor and Grobogan Regencies. The results of the tests indicate that the firefly algorithm-optimized SVM (FA-SVM) significantly improves accuracy compared to the SVM without optimization. The accuracy achieved by FA-SVM is 89.95%, while the SVM without optimization only achieves an accuracy of 65.99%. The best parameters produced by the firefly algorithm are C=2.33 and σ=0.45 obtained from firefly customization, and the number of generations is 10. Based on this, the optimization algorithm can be used to produce an optimal model. The best optimal model obtained can be used as a guide for priority locations/areas for soybean cultivation by farming communities, so as to produce maximum soybean productivity.
Co-Authors Adi Sucipto, Adi Ady Candra Nugroho Afifudin Afifudin Aftirah, Nadia Agung Riyantomo Ahmad Ari Aldino Aldi Bagus Prasetyo Alita, Debby Alvi Suhartanto Andrey Ferriyan Anjumi, Krisma Nur Annisa Annisa Ans, Faris Arkan Arfat, Muhammad Fadilah Arief Budiman Aris Munandar Bagas Aditama Bagus Miftaq Hurohman Berlintina Permatasari Budi Suyanto Dalimunthe, Ernando Rizki Damayanti, Damayanti Dyah Ayu Megawaty Eka Saputra Ellin Gusbriana Erliyan Redy Susanto Fahreza Aditya Aryatama Faris Arkans Ans Fernando, Yusra Firmansyah, Ilham Gusti Firmansyah Gustian Rama Putra Harry Gunawan Heni Sulistiani I Ketut Wahyu Gunawan Imas Sukaesih Sitanggang Indra Kurniawan Indra Kurniawan Irsan, Aqilla Hattami Irwan Tubagus Isnain, Auliya Rahman Iwan Syahputra johansyah johansyah Johansyah Johansyah Jupriyadi Jupriyadi Jupriyadi, Jupriyadi Kartini, Nuri Koeswara, Wawan Leny Meilisa M Fabian Apriando Maria Ainun Nazar Mega Desi Diah Ayu Megawaty, Dyah Ayu Mohammad Tafrikan Muhammad Aldhi Septianto Muhammad Fadilah Arfat Muhammad Fauzan Ramadhani Muhammad Fitratullah Muhammad Hamdan Sobirin Muhaqiqin Muhaqiqin muhaqiqin Nadia Aftirah Nadiya Safitri Neneng Neneng Oktora, Putri Suci Pasaribu, A. Ferico Octaviansyah Pasha, Donaya Prasetyo, Aditya Dwi Pria Agung Laksono Priandika, Adhie Thyo Purwayoga, Vega Rafi Athallah Rahayu, Masnia Rahayu, Ririn Wuri Ramadhani, Muhammad Fauzan Renda Bimantara Rikendry Rikendry Rio Andika Rulyansyah Permata Putra S. Samsugi Sakti, Hakim Erlangga Bernado Sampurna Dadi Riskiono Saputra, Alvin Setiawansyah Setiawansyah Sitanggang, Imas S. Siti Yuliyanti, Siti Sobir Sobir Sokid, Sokid Styawati Styawati Styawati, S Styawati, Styawati Suhartanto, Alvi Susanto, Erliyan Redy Syahirul Alim Syaiful Ahdan Temi Ardiansah Tia Nanda Pratiwi Tiara Azizul Andika Tiyas Utami Tri Widodo Try Susanto Veithzal Rivai Zainal Wahyu Sardjono Wawan Koswara Wijaya, Suhenda Yeris Ari Sandi Yopita Anggela Yuri Rahmanto Yusra Fernando Zaenal Abidin Zahra Kharisma Sangha Zahrina Amalia Zainabun Mardiyansyah