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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Manajemen Atma Jaya Jurnal Ilmiah FIFO Jurnal Penelitian Pendidikan IPA (JPPIPA) IKRA-ITH Informatika : Jurnal Komputer dan Informatika SINTECH (Science and Information Technology) Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Pengabdian Nasional (JPN) Indonesia JNANALOKA JAMI: Jurnal Ahli Muda Indonesia Journal of System and Computer Engineering Jurnal Computer Science and Information Technology (CoSciTech) Decode: Jurnal Pendidikan Teknologi Informasi AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Jurnal Manajemen Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Komtekinfo Internet of Things and Artificial Intelligence Journal Jurnal Pelayanan dan Pengabdian Masyarakat Indonesia Proceeding Applied Business and Engineering Conference Amare Inisiatif: Jurnal Ekonomi, Akuntansi Dan Manajemen Jurnal Sains dan Ilmu Terapan SATIN - Sains dan Teknologi Informasi Masip: Jurnal Manajemen Administrasi Bisnis dan Publik Terapan Guruku: Jurnal Pendidikan dan Sosial Humaniora Journal of Engineering Science and Technology Management Jurnal Elektronika dan Teknik Informatika Terapan Abdimas Terapan: Jurnal Pengabdian Kepada Masyarakat Terapan Dinamika Publik: Jurnal Manajemen dan Administrasi Bisnis Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal Pengabdian Nasional (JPN) Indonesia Science and Technology: Jurnal Pengabdian Masyarakat Inovasi Teknologi Masyarakat Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat
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Journal : international journal software engineering and computer science ijsecs

Android Smartphone Damage Diagnosis Expert System by Web-Based Forward Chain Method Andri Nofiar Am; Fina Nasari
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 1 (2023): APRIL 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i1.1019

Abstract

Android smartphones are commonly used smartphones. Smartphone damage often plagues smartphone users nowadays, and the user should bring the smartphone to his smartphone service provider to find out what kind of damage has happened to the device. The repair time consumed while the user's smartphone is at a service point can also consume the user's time, not to mention the cost of the repair and the distance traveled to the smartphone's service point can be significant. That's why we created an expert system for diagnosing damage to Android smartphones. When creating the system, the forward chain method was used to determine solutions to overcome smartphone damage and damage. The results of an expert system that uses a website-based forward-chain method to diagnose Android smartphone damage produces an expert confidence value that is processed before being used by the system. With this expert system, the researchers hope to help Android smartphone users deal with damage caused to their smartphones.
A Probability-Based Reliability Model for Evaluating Ro-Ro Ferry Sailing-Speed Compliance on an Indonesian Short-Sea Route Using AIS Data Hardiyanto Hardiyanto; Andri Nofiar. Am; Teguh Widodo; Supria Supria; Depandi Enda; Zulyani Zulyani
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i2.7589

Abstract

Automatic Identification System (AIS) data provide continuous operational records that can be transformed into computational indicators for evaluating maritime service performance. This study aims to develop an AIS-based probabilistic model for assessing Ro-Ro ferry service-speed reliability through sailing-speed compliance. Speed over Ground (SOG) observations were used to determine whether vessels operated within a predefined reliable speed range during sailing. The reliable speed range was defined as 7–9 knots based on the performance indicator required by the local transportation authority responsible for route licensing, while sailing observations were identified using a 3–15 knot SOG filter. From 32,358 raw AIS messages collected between 1 January and 31 March 2026, 11,166 sailing observations were retained. Observation-based reliability was 35.63%, while duration-based reliability was 36.63%, indicating that 324.76 of 886.64 estimated sailing hours were spent within the reliable speed range. Vessel-level analysis showed substantial variation, with two vessels recording duration-based reliability above 50% and two others below 10%. The Weibull distribution provided the best parametric fit, with an Akaike Information Criterion (AIC) of 44,051.48, the lowest among the fitted candidate distributions. The cumulative distribution function indicated a 35.88% probability of operating within the 7–9 knot range. Monte Carlo bootstrap resampling with 10,000 iterations produced 95% confidence intervals of 34.75–36.53% and 35.38–37.88% for observation-based and duration-based reliability, respectively. These findings indicate that AIS data can support a reproducible screening approach for evaluating aggregate and vessel-level ferry service-speed reliability.
Development of a Website Based Cashier Application for Ayya Cell and Es Kristal Using the Research and Development (R&D) Method Jamaludin Jamaludin; Andri Nofiar.Am; Muhammad Arif
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 3 (2026): DECEMBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i3.8146

Abstract

The rapid development of digital technology has encouraged Micro, Small, and Medium Enterprises (MSMEs) to adopt information systems to improve operational efficiency and support business sustainability. However, many MSMEs, including AYYA Cell and Es Kristal, still rely on manual transaction recording, inventory management, and sales reporting, leading to operational inefficiencies and inaccurate business information. This study aims to develop a web-based Point of Sale (POS) application that integrates sales transactions, inventory management, customer management, and automated reporting within a single platform. The research employed the Research and Development (R&D) methodology consisting of six stages: needs analysis, system design, application development, system testing, implementation, and evaluation. The application was developed using the Laravel Framework and a MySQL database and evaluated through Black Box Testing and User Acceptance Testing (UAT) with ten respondents, including the business owner and employees. The functional testing results indicated that all system modules operated in accordance with the predefined requirements without critical errors. The UAT results achieved an average score of 4.62 out of 5.00, corresponding to a success rate of 92.4%, indicating a high level of user acceptance and usability. The findings demonstrate that the developed POS application effectively supports transaction processing, inventory control, reporting accuracy, and operational efficiency, contributing to the digital transformation of hybrid MSMEs by integrating digital service transactions and physical product sales into one unified web-based information system.