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Kendali PID untuk Kecepatan Motor pada Produksi Jahe Serbuk Ningrum, Mery Octavia; Fauziyah, Mila; Adhisuwignjo, Supriatna
Metrotech (Journal of Mechanical and Electrical Technology) Vol 3 No 3: September 2024
Publisher : Fakultas Sains dan Teknologi, UNIRA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/metrotech.v3i3.5143

Abstract

Jahe merupakan tanaman herbal yang banyak dimanfaatkan karena memiliki banyak khasiat. Salah satu olahan jahe yang sering dijumpai yaitu minuman instan dari jahe yang berbentuk serbuk. Dalam proses pembuatan serbuk jahe melewati beberapa tahap salah satunya penggilingan jahe hingga menjadi serbuk. Penggiling jahe yang digunakan masih menggunakan blender sehingga membutuhkan 2-3 kali penggilingan dan dilakukan pengayakan menggunakan metode manual. Metode ini menyebabkan pengerjaaan penggilingan membutuhkan waktu lebih banyak, maka dibuatlah sistem penggiling jahe menggunakan kontrol PID. Sistem ini menggunakan actuator motor AC yang dikendalikan menggunakan mikrokontroller Arduino Uno dan mendapatkan input dari sensor kecepatan yang berfungsi untuk mendeteksi kecepatan motor AC. Terdapat ayakan yang diberi DC Dinamo Vibration untuk menggetarkan saringan. Untuk mencapai setpoint yang diinginkan digunakan kontrol PID yang mana untuk menentukan parameter nilai KP, Ki, dan Kd menggunakan metode Ziegler-Nichols dan tunning manual sebagai nilai acuan. Dari hasil pengujian didapatkan respon sistem yang paling baik, yaitu dengan setpoint kecepatan 1300RPM. Dengan nilai rise time sebesar 2s, settling time 0.7s, maksimum overshoot 3,2%, peak time 2s, error steady state 2,9% dan -5%. Hasil dari penggilingan jahe pada kecepatan 1300 RPM lebih halus.
Waste incinerator monitoring system based on remote communication with android interface Sarosa, Moechammad; Wirayoga, Septriandi; Putri, Ratna Ika; Adhisuwignjo, Supriatna
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v14.i1.pp136-144

Abstract

Raya Ngijo Housing, one of the areas in Karangploso in Malang District has a temporary waste management team that organises the collection of waste from residents and sends it to the landfill. The process of collecting waste from residents is usually at the temporary disposal site (TPS) in the form of moving waste from residential cleaning vehicles and accommodated at the TPS until collection by the Malang District environmental service container for disposal to the transferred to landfills (TPA). Problems often occur when the container collection process is delayed for various reasons, so that the amount of rubbish in the TPS is excessive. One of the solutions made by the cleaning team is to burn excess waste and can be burned using a furnace. However, the combustion carried out cannot be ensured perfect combustion which is feared by the environmental service. Therefore, a remote communication-based furnace monitoring system and android application were made to ensure the perfection of the combustion process so that it could be monitored by the cleaning team. Parts per million (PPM) carbon dioxide (CO2) levels of combustion smoke and combustion temperature are also monitored and controlled in accordance with the safe standards set by the environmental agency.
Kontrol Suhu Menggunakan Metode PI (Proportional-Integral) Untuk Proses Perebusan Pada Alat Pembuatan Jamu Kunyit Asam Fauziyah, Mila; Adhisuwignjo, Supriatna; Febriyana, Anita Dwi
PROtek : Jurnal Ilmiah Teknik Elektro Vol 9, No 1 (2022): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v9i1.3764

Abstract

Turmeric and tamarind herbal medicine is a traditional drink made from two different types of species, namely turmeric and tamarind. These two spices, but also processed into nutritious drinks. One of the benefits of this herbal medicine is to increase the body’s immunity. In the situation of the covid-19 pandemic, enthusiasts of the turmeric and tamarind herbal medicine are increasing, it is necessary to pay attention to the optimum quality of the product. The quality of the turmeric and tamarind herbal medicine can be seen from the boiling process. A good boiling process at a temperature of 60o-90oC to maintain the vitamin C content in turmeric, so it is necessary to control the temperature to maintain a stable boiling temperature. The control method used in this study is the PI control method to control the actuator in the form of a servo motor. In this manufacture, Arduino Uno is used as a microcontroller with DS18B20 input as a temperature sensor. By using the PI control method, the control parameters obtained by the Ziegler Nichols method with values of Kp= 12.2, Ki=0.04 and Kd=0. From the results of system testing on the PI controller application using the Ziegler Nichols method, the value (Tr) = 36 minutes, (Tp) = 31 minutes, (Ts) = 45 minutes, steady state = 0.2%, (Po) = 0, 41%
Sistem Monitoring Trafo Distribusi PT.PLN (Persero) berbasis IoT Prasetyo, Budi Eko; Putra, Widhy Hayuhardhika Nugraha; Syauqy, Dahnial; Bhawiyuga, Adhitya; Wibowo, Sigi Syah; Ronilaya, Ferdian; Siradjuddin, Indrazno; Adhisuwignjo, Supriatna
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 1: Februari 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Paper ini memperkenalkan sebuah sistem manajemen Trafo Distribusi jaringan tegangan rendah (JTR) milik PT. PLN (Persero) yang disebut dengan Distributed Transformer Management System (DTMS). Trafo Distribusi merupakan asset strategis PT. PLN (Persero) karena keberlangsungan umur trafo distribusi adalah sangat penting dalam menjaga layanan penyediaan energi kelistrikan kepada pelanggan, dan sebagai sumber pendapatan utama.  Jumlah aset yang besar dan luasnya jangkauan pemasangan trafo distribusi menuntut PT. PLN (Persero) berinvestasi lebih untuk memantau kondisi Trafo agar tidak terjadi kerusakan dan mengurangi biaya perawatan. Oleh karena itu peran teknologi informasi saat ini menjadi salah satu investasi yang paling feasible bagi PT. PLN (Persero) dalam menjaga performa aset strategis tersebut. DTMS yang dibangun terdiri atas: (1) perangkat embedded system yang berfungsi untuk melakukan pengukuran dan pengiriman data, (2) perangkat lunak Web Service yang berfungsi untuk menerima data dari embedded system dan (3) perangkat lunak berbasis web untuk penyajian data dan pengelolaan data untuk menjadi sebuah Decision Support System (DSS). DTMS ini dibangun untuk memberikan fungsi peringatan dini terhadap anomali parameter trafo seperti overload, overvoltage dan black out events. Disamping itu, suhu operasi trafo juga menjadi parameter yang menggambarkan kondisi trafo dalam status aman, peringatan atau berbahaya. Embedded system yang dibangun akan mengukur kondisi trafo, kemudian dengan menggunakan protokol komunikasi RF 2,4 GHz dan GPRS, embedded system akan menampung dan mengirim data ke server melalui protokol HTTPS dengan antarmuka pemrograman yang disusun menggunakan format JSON. Setelah mendapatkan data, DTMS akan melakukan perhitungan untuk mendapatkan rekomendasi optimalisasi trafo berupa penyeimbangan, perawatan atau peningkatan daya. AbstractThis paper introduces a Low Voltage Distribution Transformer (JTR) Management owned by PT. PLN (Persero) which is also called the Distributed Transformer Management System (DTMS). Distribution transformer is a strategic asset of PT. PLN (Persero) because it’s lifecycle is highly important for PT. PLN (Persero) primarily in delivering electrical energy to customers, and of course as a main source of PT. PLN’s revenue. The large amount of assets and the broad range of installation of distribution transformers requires PT. PLN (Persero) invests more to monitor and maintain the condition of the Trafo in order to avoid unplanned damage and reduce the cost of unplanned maintenance. Therefore the role of information technology is currently one of the most feasible investment for PT. PLN (Persero) in maintaining the performance of this strategic assets. The DTMS consists of: (1) embedded system devices for data measurement and transmission, (2) Web Services software for receiving data from embedded systems, and (3) Web-based software for data presentation and data management for Decision Support System (DSS) purpose. The DTMS is built to provide early warning functionality to the transformer parameter anomalies such as overload, overvoltage and blackout events. In addition, the transformer operating temperature is also an important parameter that describes the condition of the transformer in safe state, warning state or danger state. The embedded system will measure the transformer's general conditions, then using the 2.4 GHz RF communications protocol and GPRS, then it will collect and transfer data to the server via the HTTPS protocol with a programming interface compiled using the JSON format. After getting the data, DTMS will do the calculation to get recommendation of transformer optimization such as balancing, maintenance or power uprating.
Collaboration between Vocational Higher Education and UMKM Towards National Empowerement: Kolaborasi Perguruan Tinggi Vokasi dan UMKM menuju Kemandirian Nasional Hapsari, Ratih Indri; Adhisuwignjo, Supriatna; Alia*, Nila; Perdana, Fengky Adie; Kusmintarti, Anik; Melani, Erlin
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 2 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i2.16277

Abstract

Micro, Small, and Medium Enterprises/UMKM are one of the main pillars of economic fundamentals that contribute positively to the Indonesian economic ecosystem. However, the high role of UMKM in the Indonesian economy is still hindered by the large number of UMKM in the informal sector, making it difficult to upgrade. The purpose of this community services activity is to increase the empowerement of UMKM actors through mentoring activities by vocational college collaborated with KADIN Malang City and Jawa Timur province and BUMDes in Malang Regency. The UMKM mentoring method is carried out with lectures, discussions, questions and answers, training and assignments, as well as direct output-based assistance. The results of PkM activities show that UMKM assistance from lecturers as well as students provides solutions to partner problems related to aspects of management, legality, capital, and UMKM resilience strategies, as well as increasing independence, adding knowledge and business skills improvement
Mask Detection App Uses Haar Cascade and Convolutional Neural Network to Alert Comply with Health Protocols Rahmad, Cahya; Nurfaidah, Nurfaidah; Adhisuwignjo, Supriatna; Hani’ah, Mamluatul
Applied Information System and Management (AISM) Vol. 6 No. 2 (2023): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v6i2.31396

Abstract

This study aims to identify the face of a person whether wearing a mask or not wearing a mask accompanied by an appeal to the importance of wearing a mask. The contribution of this paper to science is to provide an overview of the results of accuracy, precision, recall used by the method used with data that can be accessed by many people, so that it can be developed further or can be compared. This system uses two techniques, namely the classification of whether a person is wearing a mask or not using the Convolutional Neural Network (CNN) model. The architecture used is DenseNet-12 to detect human face objects. The data used has a total of 2332 data sets, 200 of which were retrieved manually as research objects, and the rest were obtained from Kaggle. All data is evaluated using the camera in real-time. The test results show that testing scenario one has the highest score with an accuracy of 85% while testing scenario two gets results of 80%, the precision value in testing scenario one gets results of 75%, and testing scenario two has results of 88%. Scenarios 1 and 2 also have the same recall value of 100%. Based on the data analysis, it can be concluded that the use of the Haar Cascade approach and the Convolutional Neural Network with the DenseNet-121 architecture produces good performance in the case of real-time detection of masked and non-masked facial objects.
Sistem Komposter Rumah Tangga Berbasis Arduino dengan Monitoring Real-Time Parameter Pengomposan Fauziyah, Mila; Putri, Ratna Ika; Adhisuwignjo, Supriatna
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 3 (2025): Jurnal Elkolind Vol 12 No 3 (September 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i3.9150

Abstract

Peningkatan timbulan sampah organik rumah tangga menuntut metode pengolahan yang lebih terukur, efisien, dan dapat dikendalikan. Proses pengomposan konvensional kerap gagal karena parameter lingkungan seperti suhu, kelembapan, dan pH tidak berada pada rentang optimal. Penelitian ini merancang komposter otomatis berbasis Arduino Uno yang dilengkapi sensor HC-SR04, DS18B20, soil moisture, dan sensor pH untuk melakukan pemantauan real-time dan pengendalian aktuator secara otomatis. Sistem mengaktifkan motor pencacah selama 3 menit, pompa cairan tetes tebu selama 50 detik, serta pompa EM4 selama 2 detik, sebelum memasuki fase pengomposan. Sensor kelembapan mengendalikan pompa air ketika nilai di bawah 40%, dan mengaktifkan motor pengaduk saat kelembapan melebihi 60%, menjaga kondisi aerobik tetap stabil. Pengujian dilakukan pada kapasitas bahan 5 kg, dengan rentang suhu pengomposan tercatat pada 32–45°C dan pH akhir berada pada kisaran 6,5–7,2, yang sesuai untuk kompos matang. Sistem mampu mempertahankan kelembapan pada rentang ideal 40–60% serta menghasilkan kompos dalam waktu lebih cepat dibanding metode manual. Hasil ini menunjukkan bahwa integrasi sensor dan aktuator berbasis mikrokontroler mampu meningkatkan kestabilan proses pengomposan dan mengurangi kebutuhan intervensi operator