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All Journal JUITA : Jurnal Informatika JIEET (Journal of Information Engineering and Educational Technology) ILKOM Jurnal Ilmiah Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Informatika Global bit-Tech Jurnal Abdimas Mandiri Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer Networks, Architecture and High Performance Computing Jurnal Generic RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Pengembangan Sistem Informasi dan Informatika Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal INFOTEL Jurnal Software Engineering and Computational Intelligence Journal of Intelligent Networks and IoT Global Impression : Jurnal Teknologi dan Informasi SISFOTENIKA Jurnal Ilmu Teknologi Informasi Indonesia (JITIFNA)
Nazori Suhandi
Fakultas Ilmu Komputer, Universitas Indo Global Mandiri
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Penerapan Aplikasi Laboratorium Untuk Meningkatkan Kualitas Layanan Di Puskesmas Gandus Gustriansyah, Rendra; Puspasari, Shinta; Sanmorino, Ahmad; Suhandi, Nazori; Antony, Fery
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 6 No. 3 (2023): Juli 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v6i3.2425

Abstract

Abstract: The Public Health Center (Puskesmas) is a driving center for health-oriented development, empowering societies and families, and first-level health service is responsible for improving the quality of its services by delivering relevant, fast, and targeted information to achieve its vision and mission. Especially during the Covid-19 pandemic some time ago, the role of the Puskesmas laboratory as the frontline of the first-level health service center in examining Covid-19 symptoms and carrying out vaccinations is essential. Therefore, this community service activity aims to implement a web-based laboratory application at the Gandus health center to assist laboratory staff in completing, collecting, processing, and presenting data in a more structured, easy-to-read, timely, and accurate manner. The stages of the activity include interviews, discussions, patient data collection and laboratory examinations, application installation, and socialization of its use. This activity can improve the quality of laboratory services and add value to the accreditation of the Puskesmas.Keywords: application; laboratory; Public Health Center; service  Abstrak: Puskesmas sebagai pusat penggerak pembangunan berwawasan kesehatan, pemberdayaan masyarakat, keluarga dan tempat pelayanan kesehatan tingkat pertama bertanggung jawab meningkatkan mutu layanannya melalui penyampaian informasi yang relevan, cepat dan tepat sasaran kepada pasien, dalam upaya mencapai visi dan misinya. Terutama di saat pandemi Covid-19 beberapa waktu yang lalu, maka peran laboratorium di puskesmas sebagai garda terdepan pusat layanan kesehatan tingkat pertama dalam pemeriksaan gejala Covid-19 dan pelaksanaan vaksinasi menjadi penting. Oleh karena itu, kegiatan pengabdian kepada masyarakat ini bertujuan untuk menerapkan aplikasi laboratorium berbasis web di puskesmas Gandus dalam upaya untuk membantu staf laboratorium dalam melengkapi, mengumpulkan, memproses, dan mempresentasikan data secara lebih terstruktur, mudah dipahami, akurat, dan tepat waktu. Tahapan kegiatan meliputi wawancara, diskusi, pengambilan data pasien dan pemeriksaan laboratorium, instalasi aplikasi, serta sosialisasi penggunaannya. Kegiatan ini dapat berkontribusi untuk meningkatkan kualitas layanan laboratorium dan menambah nilai akreditasi puskesmas.Kata kunci: aplikasi; laboratorium; layanan; puskesmas
Pelatihan Penggunaan Aplikasi Reservasi Kamar Hotel Untuk Meningkatkan Layanan Konsumen Suhandi, Nazori; Gustriansyah, Rendra
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 2 (2024): April 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i2.2938

Abstract

The travel and tourism sectors are closely related to the hospitality sector. The success of a hotel in this digital era is strongly supported by customer service that utilizes information technology-based applications. However, using these applications effectively requires proper training and understanding. Therefore, this service activity aims to train Swarna Dwipa hotel staff in operating a web-based hotel room reservation application. It is one way for hotel staff to provide optimal service and assist in driving business success in the hospitality sector. Many studies show that operating hotel room reservation applications can increase customer satisfaction and efficiency in the hotel business. However, proper and systematic training is necessary to maintain competitiveness. The stages of this activity include observation, interviews, sharing knowledge, training in application use, and evaluation. The simulation results show that participants can use the reservation application in a structured and systematic manner with a significant level of user acceptance of applications. Keywords: application; hotel; training; reservation
Pendampingan Implementasi E-Arsip Untuk Proyek Infrastruktur Tol Gustriansyah, Rendra; Suhandi, Nazori; Puspasari, Shinta; Sanmorino, Ahmad; Wiyanto, Ari
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 8 No. 2 (2025): April 2025
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v8i2.3605

Abstract

The conventional management of archives using physical files at the Jambi-Betung II Toll Road Land Procurement Commitment Making Officer (PPK-PPTJT) agency results in slow document retrieval, a higher risk of data loss, and limited accessibility to important information. This community service initiative aims to enhance the technological skills of human resources at PPK-PPTJT Jambi-Betung II, particularly in electronic archive management. The methods employed involve socialization and technical training on using e-archive applications for four PPK-PPTJT employees. Evaluation was conducted through questionnaires and interviews to assess the participants' improvement in understanding and skills. The results demonstrated a significant increase in participants' capabilities: 25% reported a better understanding of the benefits of e-archives, 75% enhanced their operational application skills, and 25% felt more confident in managing electronic archives. The implementation of e-archives has successfully reduced reliance on physical documents and expedited the toll road land procurement administration process, ultimately increasing the operational efficiency of PPK-PPTJT Jambi-Betung II.Keywords: e-archive; mentoring; land procurement; archive management  Abstrak: Pengelolaan arsip secara konvensional dengan menggunakan berkas fisik di instansi Pejabat Pembuat Komitmen Pelaksana Pengadaan Tanah Jalan Tol (PPK-PPTJT) Jambi-Betung II menyebabkan lambatnya pencarian dokumen, rentan kehilangan data, dan terbatasnya aksesibilitas terhadap informasi penting. Tujuan pengabdian ini adalah untuk meningkatkan kapasitas sumber daya manusia di PPK-PPTJT Jambi-Betung II dalam hal digitalisasi dan pengelolaan arsip elektronik. Metode yang digunakan meliputi sosialisasi, pelatihan teknis penggunaan aplikasi e-arsip bagi empat pegawai PPK-PPTJT. Evaluasi dilakukan dengan angket dan wawancara untuk mengukur peningkatan pemahaman dan keterampilan empat peserta. Hasil evaluasi menunjukkan peningkatan signifikan: 19% peserta lebih memahami manfaat e-arsip, 31% peningkatan kemampuan operasional aplikasi, dan 25% peningkatan kepercayaan diri dalam pengelolaan arsip elektronik. Penerapan e-arsip berhasil mengurangi ketergantungan pada arsip fisik, mempercepat proses administrasi pengadaan tanah jalan tol, efisiensi ruang penyimpan, dan kemudahan monitoring dan evaluasi proses operasional PPK-PPTJT Jambi-Betung II.Kata kunci: e-arsip; pendampingan; pengadaan tanah; pengelolaan arsip
Pengembangan Ide Bisnis Startup Little Farm: Digital Farming Solution Dengan Penerapan Metode Lean Startup Suhandi, Nazori; Sunardi, Hastha; Kanaka, Nayaka Al Syahreal
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.3031

Abstract

The Sustainable Development Goals or SDGs are documents containing 17 goals and 169 targets that are valid from 2016 to 2030. Indonesia is one of the countries that attended the general assembly, agreed to the document, and is active in achieving the goals that have been ratified. Of the 17 goals in the SDGs, goal 2 contains eliminating hunger, achieving food security and nutrition, and promoting sustainable agriculture. One way to do this is by gardening, but some people in urban and suburban areas have limited land. The problem of limited land can be overcome by the hydroponic method which uses water as a planting medium. There have been several similar systems that have been developed, but only focus on the monitoring and control functions of hydroponics. Little Farm as a startup developing applications and systems based on the Internet of Things will help people to manage their hydroponics more easily, and can become a new source of income to increase their economic level. The application will be developed using the lean startup method which has 3 flows, namely build, measure, and learn. The process begins with making observations on the Google search engine. Then the observation results become a reference in developing Little Farm. The final form of this research is the Little Farm application prototype. Applications will continue to be developed based on user research and feedback.
Forecasting Light Rail Transit Passenger Demand Using Parameter-Tuned Exponential Smoothing Models Gustriansyah, Rendra; Puspasari, Shinta; Sanmorino, Ahmad; Suhandi, Nazori
JIEET (Journal of Information Engineering and Educational Technology) Vol. 9 No. 2 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v9n2.p101-112

Abstract

Accurate passenger demand forecasting is essential for optimizing the operational efficiency and sustainability of urban rail systems. This study aims to forecast monthly passenger numbers in the Palembang Light Rail Transit (LRT) system using optimized Exponential Smoothing (ES) models with parameter tuning for improved predictive accuracy. Three variants of the ES method are examined: Simple Exponential Smoothing (SES), Double Exponential Smoothing (DES), and Brown's Exponential Smoothing (BES). Furthermore, Seasonal ARIMA (SARIMA) is used as a benchmark to evaluate whether simpler ES models can match or outperform complex statistical approaches. Data from August 2018 to December 2023 are analyzed and split into training and testing sets (ratio 80:20). Model performance is evaluated using Mean Absolute Percentage Error (MAPE), Diebold–Mariano (DM), and Ljung–Box Q (LBQ) tests. The results show that the SES model with a smoothing parameter α = 0.9 achieves the best forecasting accuracy on the test data (MAPE = 8.6%), outperforming other ES variants and previous SARIMA-based models. These findings highlight that simpler ES-based models can effectively capture short-term transportation demand patterns in developing urban transit systems. Practically, the results of this study can provide valuable insights for LRT operators and municipal planners in designing responsive, data-driven operational strategies.
Pengaruh Pelatihan Etika Profesi terhadap Integritas Mahasiswa Teknik Informatika Putri, Meilany Aulia; Ramadhanti, Nur Fadhilah; Suhandi, Nazori
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 3 (2025): November 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i3.1178

Abstract

Penelitian ini bertujuan menganalisis secara sistematis pengaruh pelatihan etika profesional terhadap pembentukan integritas mahasiswa Teknik Informatika melalui telaah literatur terpilih yang mencakup publikasi tahun 2010–2025. Kajian ini menelaah konsep pelatihan etika, standar etika profesional TI, serta teori perkembangan moral untuk mengidentifikasi pola hubungan antara pelatihan etika dan integritas mahasiswa. Hasil telaah menunjukkan bahwa model pelatihan berbasis pengalaman, studi kasus, proyek teknis, dan simulasi etika lebih efektif dalam meningkatkan penalaran moral, kepekaan etis, dan tanggung jawab profesional mahasiswa. Secara teoretis, penelitian ini berkontribusi dengan mengintegrasikan perspektif etika filosofis, kerangka etika profesional ACM–IEEE, dan teori moral kognitif sebagai landasan konseptual pembentukan integritas di bidang TI. Temuan ini memberikan implikasi akademik bagi pengembangan kurikulum, khususnya kebutuhan penguatan pelatihan etika yang relevan dengan tantangan teknologi digital di perguruan tinggi.   This study aims to systematically examine the influence of professional ethics training on the integrity of Information Technology students through a selected literature review covering publications from 2010 to 2025. The analysis integrates discussions on ethics training models, professional IT ethical standards, and moral development theories to identify conceptual patterns linking ethics training to student integrity. The findings indicate that experiential learning, case-based instruction, project-integrated ethics, and digital ethics simulations are the most effective approaches in enhancing students’ moral reasoning, ethical sensitivity, and professional responsibility. Theoretically, this study contributes by synthesizing philosophical ethics perspectives, the ACM–IEEE professional ethics framework, and cognitive moral development theory into a comprehensive conceptual foundation for understanding integrity formation in the IT domain. These insights offer academic implications for curriculum development, particularly the need to strengthen ethics training aligned with emerging digital technology challenges in higher education.  
Metode Pembelajaran Mesin untuk Memprediksi Status Gizi Balita Rendra Gustriansyah; Nazori Suhandi; Shinta Puspasari; Ahmad Sanmorino
JURNAL INFOTEL Vol 16 No 1 (2024): February 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i4.988

Abstract

Malnutrition is one of the leading health problems experienced by toddlers in various countries. Based on the 2022 Indonesian Nutritional Status Survey results, malnutrition in children under five in Indonesia is higher than the average malnutrition in Africa and globally. Therefore, a way is needed to predict the nutritional status of children under five early and quickly so that the Government (through District Health Office) can immediately provide the necessary treatment. This study aims to predict or classify the toddlers' nutritional status based on age, body mass index (BMI), weight, and body length using various machine learning (ML) methods, namely naïve Bayes, linear discriminant analysis, decision tree, k-nearest neighbor, random forest, and support vector machine. The predictive performance of each ML method was evaluated based on accuracy, sensitivity, specificity, the area under curve, and Cohen's Kappa coefficient. The test results show that the RF method is the most recommended for predicting toddlers' nutritional status. The study's contribution is to obtain information about toddlers' nutritional status easier.
Peran Edukasi Etika Digital Dalam Mengurangi Risiko Serangan Keamanan Informasi Putri, Alfina Elsa; Suhandi, Nazori
Jurnal Ilmu Teknologi Informasi Indonesia Vol. 2 No. 1 (2026): JITIFNA - Januari
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/jitifna.v2i1.1010

Abstract

Digital ethics education is becoming increasingly important with the increasing threat of cybercrime and the need to protect personal data in the digital age. This study aims to analyze the role of digital ethics education and digital literacy in reducing the risk of security attacks. Using a literature review method, the study gathered information from journals, books, and reports related to digital ethics, data security, and user behavior. The results show that digital ethics education, which includes an understanding of the safe, legal, and responsible use of technology, can increase public awareness of cyber threats and strengthen their ability to maintain data integrity and privacy. The use of information technology in the educational process has also proven effective in encouraging ethical digital behavior, reducing the opportunity for attacks such as phishing, social engineering, and data misuse. Therefore, digital ethics education plays a crucial role in shaping a society that is intelligent, critical, and safe in its digital activities, thereby significantly reducing the risk of information security incidents.
Klasifikasi Penyakit TBC Menggunakan Metode UMAP dan K-NN Nazori Suhandi; Rendra Gustriansyah; Abel Destria
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2227

Abstract

Tuberkulosis (TBC) adalah penyakit infeksi yang disebabkan oleh bakteri Mycobacterium tuberculosis, yang dapat menyebar dengan cepat melalui udara. Deteksi dini yang akurat sangat penting dalam penanganan penyakit ini untuk mencegah penyebaran lebih lanjut serta meningkatkan efektivitas pengobatan. Diagnosis yang tidak tepat dapat menyebabkan keterlambatan dalam pengobatan, sehingga meningkatkan risiko komplikasi serius bagi pasien. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan sistem klasifikasi TBC menggunakan metode Uniform Manifold Approximation and Projection (UMAP) dan K-Nearest Neighbors (K-NN) di Puskesmas Prabumulih Timur. Dataset yang digunakan terdiri dari 278 data pasien dengan berbagai atribut klinis terkait gejala TBC. Proses analisis diawali dengan tahap pra-pemrosesan data, termasuk penghapusan data duplikat, encoding data kategorikal, serta penanganan nilai yang hilang. Untuk meningkatkan akurasi klasifikasi, metode Elbow diterapkan guna menentukan nilai K optimal, dengan hasil terbaik pada K=3. Data kemudian dibagi menjadi 80% data pelatihan dan 20% data uji guna menghindari overfitting dan meningkatkan reliabilitas model. Pengujian dilakukan dengan membandingkan dua skenario, yaitu K-NN tanpa UMAP dan K-NN dengan UMAP. Hasil evaluasi menggunakan Confusion Matrix menunjukkan bahwa penerapan UMAP meningkatkan accuracy dari 93,48% menjadi 100%, dengan precision dan recall juga mencapai nilai maksimal. Penelitian ini berkontribusi dalam pengembangan sistem klasifikasi berbasis machine learning yang lebih akurat dan efisien untuk membantu tenaga medis dalam mendiagnosis TBC secara cepat, tepat, dan optimal dalam sistem layanan kesehatan.
Decision Support System For Selecting Smart Indonesia Card Candidates Using Preference Selection Index Method M. Reza Fhalepi; Herri Setiawan; Nazori Suhandi
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3068

Abstract

The Kartu Indonesia Pintar (KIP) program is a government initiative designed to ensure equal access to higher education for students from low-income families. However, the selection process remains challenging due to the large number of applicants, diverse evaluation criteria, and reliance on manual judgment, which can lead to inefficiency and bias. This study develops a decision support system (DSS) using the Preference Selection Index (PSI) method to improve transparency and objectivity in selecting KIP recipients at Universitas Indo Global Mandiri. Data were obtained through observation, structured interviews, documentation, and secondary records from the BKABK finance division. Five main criteria were used in the evaluation process: parents’ occupation, housing condition, number of siblings, academic achievements, and interview performance. The PSI method was implemented through data normalization, calculation of mean and deviation, automatic weight generation, and computation of each applicant’s final PSI score. A total of 270 valid applicants were processed, with most achieving scores between 0.80 and 0.90 (mean = 0.86; SD = 0.04), reflecting a high level of competition. The top five candidates scored between 0.8787 and 0.9179, led by Christopher Nathan Tanugraha and Kiagus Deru Cahyadi. These results demonstrate that PSI can reduce subjectivity in weight assignment, increase efficiency, and minimize human error, while ensuring fair scholarship distribution. More broadly, the proposed PSI-based DSS can be applied in other universities and scholarship programs, offering a scalable solution for equitable and data-driven decision-making in higher education.
Co-Authors Abel Destria Ahmad Sanmorino Amalia, Marshanda Antony, Fery Apri Aidila Utami Arda Damayanti Ariesta Diana Putri Damayanti, Arda Destria, Abel DEWI SARTIKA Efri Ayu Kartika Putri Fery Antony Hastha Sunardi Herri Setiawan Imelda Saluza, Imelda Indah Charista Irma Yuliawati Jhons Fransdesker John Roni Coyanda Juhaini Alie Kanaka, Nayaka Al Syahreal Kris, Via M. Reza Fhalepi Masda Rahadian Muhammad Haviz Irfani Putri, Alfina Elsa Putri, Meilany Aulia Rachmansyah Rachmansyah Ramadhani, Kiki Ramadhanti, Nur Fadhilah Ratna Meilinda Rendra Gustriansyah Rendra Gustriansyah Sari Agnisa Sartika, Dewi Shinta Puspasari Shinta Puspasari Shinta Puspasari Sri Primaini Sunardi, Hastha Sunardi, Hastha Suzan Agustri Wiyanto, Ari