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REDUCTION OF LIFTED STITCH DEFECTS IN WIRE BONDING PROCESS THROUGH ROOT CAUSE ANALYSIS Puspita, Widya Rika; Manurung, Anjunius; budiana, Budiana; Nur Sakinah Asaad; Jefiza, Adlian; Nakul, Fitriyanti; Putra, Irwanto Zarma; Diputra, Muhammad Naufal Airlangga; Illa Aryeni; Handri Toar; Anggraini, Ria
Jurnal Teknologi Dan Riset Terapan (JATRA) Vol. 7 No. 2 (2025): Jurnal Teknologi dan Riset Terapan (JATRA) - December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jatra.v7i2.9604

Abstract

Reliable connection inspection is crucial for the quality of semiconductor products. A frequent issue is stitch defects during wire bonding. To address this, an investigation was conducted using flow charts. Additionally, an analysis was performed by identifying root causes using the Fishbone Diagram method and the 5 Whys technique. After improvements, including targeted operator training, a significant reduction of 96.75% in stitch defects was achieved. This study demonstrates that the combination of root cause analysis methods and operator training effectively enhances the reliability of the wire bonding process and the quality of semiconductor products. This study did not account for environmental factors that might influence the wire bonding process, such as temperature and humidity variations. Therefore, the findings may be limited in settings with different environmental conditions.
Implementasi Sistem Pemantauan Energi Listrik dan Perbaikan Faktor Daya Berbasis Android dengan MIT App Inventor dan Firebase Andre Rabiula; Dasrinal Tessal; Aldy Pratama; Togi Siholmarito Simarmata; Elsa Lolita Anggraini; Illa Aryeni
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.11615

Abstract

As inductive loads like washing machines and water pumps become more common, they utilize more reactive energy and lower the power factor. If the power factor is less than 0,85 PLN, electrical protection devices like MCBs and ELCBs could stop working. To utilize less power, things need to change. Adding a capacitor bank to add reactive power can make the power factor value better. Using the MIT App Inventor and Firebase platforms, this study built an app that lets you keep track of and improve your power factor. The app had an average data latency of 11,20 seconds. After 11 load changes, the average power factor went up from 0,64 (before improvement) to 0,88 (after). So, this method for optimizing power factor helps to get a low power factor up to the right level.
Formalin Detection System in Fish with HCHO Sensor and pH Sensor Using Fuzzy Logic Method Rainhart Sitohang; Illa Aryeni; Hana Mutialif Maulidiah; Ririn Humaera; Handri Toar; Jum Malindo Siregar
Journal of Applied Electrical Engineering Vol. 10 No. 1 (2026): JAEE, June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v10i1.11618

Abstract

This study aims to design a system for detecting formalin and pH levels in fish using the Mamdani Fuzzy Logic method. The system consists of an HCHO sensor and a pH sensor as the system input, and an Arduino Mega 2560 microcontroller as a data processor. The data is processed in real-time and classified into three categories. Testing was carried out on snapper samples with a duration of 1–60 minutes and 10 repeats of the experiment. The results of the study showed that the accuracy rate of the system was 91%. The system can identify formalin levels and classify them into safe (0 ppm formalin, pH 6,5), alert (12,42 ppm, pH 6,64), and danger (19,29 ppm, pH 5,42). The implementation of this system can facilitate the direct detection of formalin in fish and can help increase public awareness of the dangers of formalin.
Design and Performance Evaluation of an IoT-Enabled Feed Level Alert System for Smart Fish Feeders Micko Tomas; Baharuddin Baharuddin; Illa Aryeni; Elsi Alfionita Syawal; Muhammad Kodrat
Journal of Applied Electrical Engineering Vol. 10 No. 1 (2026): JAEE, June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v10i1.11692

Abstract

The Feed Level Alert system on the Smart Fish Feeder was designed to monitor fish feed availability in real-time using an Internet of Things approach. Unlike previous research that focused solely on passive monitoring, this system presents a practical implementation equipped with automatic notifications when the fish feed level status reaches a set threshold. The HC-SR04 ultrasonic sensor is used to measure the distance between the tank lid and the feed surface, while the DHT-11 sensor monitors temperature and humidity to maintain feed quality. The ESP32 microcontroller is responsible for processing data and sending alert notifications via Telegram Bot with an average response time of 1,8 seconds. Test calibration results show a detection accuracy of 96,4% and a system reliability of 99,3%. The portable prototype design allows installation without significant mechanical modifications. With its integrative capabilities, this system shows high potential as an efficient, adaptive, and sustainable innovative aquaculture.
Potential Utilization of Palm Shells and Fibers as an Electricity Source in Bungo Regency Elsi Alfionita Syawal; Ferdi Ashari Syawal; Illa Aryeni
Journal of Applied Electrical Engineering Vol. 10 No. 1 (2026): JAEE, June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v10i1.11775

Abstract

Indonesia faces an electricity crisis due to increasing demand and heavy reliance on fossil fuels. This study examines the potential of palm oil biomass waste—shells and fibers—as fuel for a steam power plant in Bungo Regency. The methodology applies the Direct Method (Equation 1) to estimate electricity potential based on a validated boiler efficiency of 73% and actual calorific values. The results reveal that palm shells have a potential of 21,024 GWh/year, while fibers can generate 49,056 GWh/year. A key novelty of this research is the determination of specific fuel requirements: 2,3 kg/kw of shells and 2,6 kg/kw of fibers are needed to produce 1 kW of electricity. These findings provide precise empirical data for regional energy planning and demonstrate that integrating palm biomass into local grids offers a sustainable alternative to fossil fuels.
Sistem Monitoring Kolam Bioflok Bagi Petani Ikan Nila di Pulau Batam Daniel Sutopo Pamungkas; Illa Aryeni; Ika K L N Suciningtias; Rafiqah Y D Salwa; Urip R Pangestu; Precelia E Samosir; Mohammad Hasanuddin; Eha S Sirait
Journal of Applied Community Engagement Vol. 5 No. 1 (2025): Journal of Applied Community Engagement (JACE)
Publisher : ISAS (Indonesian Society of Applied Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jace.v5i1.1128

Abstract

This project aims to develop an Internet of Things (IoT)--based water quality monitoring system specifically designed for optimizing tilapia cultivation. This system utilizes electronic sensors to monitor Total Dissolved Solids (TDS) parameters, pH, temperature, and dissolved oxygen (DO). The data obtained is processed by an ESP32 microcontroller and displayed in real time on an LCD screen, making it easier for farmers to monitor water conditions. An additional feature in the form of a buzzer alarm provides an early warning if the water quality parameters are outside the safe threshold. With this system, farmers can quickly take corrective action, minimize the risk of fish mortality, and increase resource use efficiency. The system implementation results are expected to support economic and environmental sustainability in tilapia cultivation.