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All Journal Jurnal Eksplora Informatika ILKOM Jurnal Ilmiah International Journal of Environmental, Sustainability, and Social Science DIPANEGARA KOMPUTER TEKNOLOGI INFORMATIKA (DIPAKOMTI) DIPANEGARA KOMPUTER SISTEM INFORMASI (DIPAKOMSI)
Indo Intan
Department Of Informatics Engineering, Universitas Dipa Makassar, Makassar, Indonesia
Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Pengaruh Penerapan Stochastic Gradient Descent Dan Adam Optimizer Pada Hyperparameter Tuning Untuk Klasifikasi Penyakit Tanaman Ubi Kayu Johan Tandean; Rhadi Indrawan; Indo Intan; Suci Ramadhani Arifin
Dipanegara Komputer Teknologi Informatika Vol 16 No 1 (2023): Jurnal Dipanegara Komputer Teknik Informatika (DIPAKOMTI)
Publisher : Dipanegara Komputer Teknologi Informatika

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Abstract

Ubi kayu merupakan salah satu sumber bahan makanan pokok, maka perawatan pada tanaman ubi kayu atau (Manihot esculenta Crantz) terhadap penyakit adalah hal yang penting untuk diperhatikan. Dengan melibatkan perkembangan teknologi saat ini, diharapkan observasi terhadap tanaman yang terjangkit penyakit akan dapat dilakukan jauh lebih mudah. Dari alasan tersebut, peneliti dengan belasan ribu data gambar ubi kayu yang terinfeksi, memanfaatkan algoritma Neural Network dalam hal ini Convolutional Neural Network (CNN) untuk kemudian mengklasifikasikan jenis penyakit ubi kayu. Pada pembuatan model CNN juga dilakukan perbandingan model terhadap Hyperparameter Optimizer yang digunakan, yakni Stochastic Gradient Descent dan Adam. Dengan melakukan Hyperparameter Tuning tersebut, diharapkan dapat menghasilkan model klasifikasi yang lebih baik.
Perancangan Aplikasi Monotoring Dan Kontrol Smarthome Berbasis IoT Terintegrasi Dengan Bot Telegram Sebagai Notifikasi Wiranto Arismunandar; Muhammad Alamsyah; Indo Intan,S,T., M.T.; Ardimansyah, S.Kom., M.T Ardimansyah, S.Kom., M.T
Dipanegara Komputer Teknologi Informatika Vol 16 No 1 (2023): Jurnal Dipanegara Komputer Teknik Informatika (DIPAKOMTI)
Publisher : Dipanegara Komputer Teknologi Informatika

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Abstract

Di era modern saat ini, perkembangan teknologi berjalan begitu cepat dan hampir meliputi di semua aspek kehidupan kita sehari-hari. Salah satu hal yang juga tak lepas dari perkembangan teknologi saat ini yaitu masalah keamanan rumah. Adapun tujuan penelitian ini bagaimana membangun sistem monitoring dan kontrol smarthome dengan memanfaatkan integrasi bot telegram sebagai notifikasi. Pada penelitian ini menggunakan metode blackbox testing dan pengujian perangkat keras serta adanya beberapa alat seperti ESP32, ESP32 Cam, Sensor PIR, Sensor Gas MQ-2, Sensor Suhu DHT-21, Sensor IR Flame, Stepper Motor Driver, BuzzerWarning, Fingerprint, Motor Servo MG996R. Setelah hasil dari perancangan sistem, dimana sistem bekerja dengan kondisi online dan begitu juga dengan kondisi masing-masing sensor sesuai inputan. Sehingga dengan adanya sistem ini pemilik rumah dapat merasa aman dengan sistem kontrol dan monitoring smarthome berbasis IoT dengan terintegrasi bot telegram serta aplikasi android melalui smartphone.
Implementasi Metode Certainty Factor Pada Sistem Pakar Untuk Mendiagnosis Gangguan Mental Berbasis Android Diah Larasati Umar Jaya; Azza Farakhiyah; Indo Intan
Dipanegara Komputer Sistem Informasi Vol 16 No 2 (2022): Jurnal Dipanegara Komputer Sistem Informasi (DIPAKOMSI)
Publisher : Dipanegara Komputer Sistem Informasi

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Abstract

Kesehatan mental yang baik merupakan kondisi ketika batin kita berada dalam keadaan tentram dan tenang, sehingga memungkinkan kita untuk menikmati kehidupan sehari-hari dan menghargai orang lain di sekitar. Pentingnya kesehatan mental bagi kehidupan karena dapat mempengaruhi bagaimana seseorang berpikir. Gangguan mental dapat mengubah cara seseorang dalam menangani stress, berhuungan dengan dengan orang lain, membuat pilihan, dan memicu hasrat untuk menyakiti diri sendiri. Pada penelitian ini, penulis bermaksud merancang dan membangun sebuah sistem pakar untuk mendiagnosis gangguan mental berbasis android dengan menggunakan metode certainty factor. Metode certainty factor adalah metode yang digunakan untuk mengukur sesuatu apakah pasti atau tidak pasti dalam mendiagnosis dan mengidentifikasi suatu masalah. Pada pengujian whitebox testing ditarik kesimpulan, dari hasil keseluruhan pengujian dari aplikasi yang dibuat sudah terbebas dari kesalahan logika, ini bisa dilihat dari hasil perhitungan untuk jumlah Cyclomatic Complexity (CC) sebanyak 12, Region = 12 dan Independent Path = 12, semua nilai sama. Pada pengujian blackbox testing ditarik kesimpulan, hasil keseluruhan pengujian input output dari aplikasi yang dibuat sudah sesuai dengan spesifikasi yang diinginkan. Pada pengujian performansi ditarik kesimpulan, hasil perhitungan pengujian performansi system mendapatkan nilai sebesar 73% artinya sistem dapat bekerja dengan baik.
The Implementation of Innovation Program Report: 3 in 1 Anion Bed Operating Pattern For Water Efficiency and Water Pollution Loads Improvement Sofiyan Dwi SUSILO; Arif Eko PRASETYO; Wawan SETYAWAN; Munirul ICHWAN; Indo INTAN; Andrea Stevens KARNYOTO
International Journal of Environmental, Sustainability, and Social Science Vol. 5 No. 3 (2024): International Journal of Environmental, Sustainability, and Social Science (May
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/ijesss.v5i3.1079

Abstract

In Tuban Regency, East Java, Indonesia, PT PLN Nusantara Power Unit Tanjung Awar-Awar Power Plant was built. There are two 350 MW coal-fired plants in operation. This project was built based on Presidential Regulation of the Republic of Indonesia No 71 of 2006 dated July 5, 2006 concerning assignment to PT PLN. The company is committed to the environment. They hire a highly skilled team of technicians and engineers to run water treatment plants (WTP). The PT PLN Nusantara Power Unit Tanjung Awar-Awar was able to solve many problems that were caused by the WTP by analyzing data and observing actual conditions. Specially to address concerns such as efficiency, safety, and saving money. A challenge of WTP operation is the limited ability of ion exchange resin (Anion) to remove impure ions from raw water. Hence, PLN introduced an innovative program called "THE IMPLEMENTATION OF 3 IN 1 ANION OPERATION PATTERN". We developed this program because anion beds need to be replaced every so often. The program reduces anion bed component replacement frequency. Due to the WTP's two anion beds, this operating method is possible. The first three days of operation are spent using Anion Bed-A, while Anion Bed-B remains on standby. We're contributing to 1) the anion bed replacement has been cut from once a month to once every three months, 2) significant reductions in waste water pollution load in 2022 of TSS=0,000624 tonnes and CL=0.00000714 tonnes.
Redesigning the Element Profile of Air Preheater in Coal-fired power plants for Emission Reduction and Efficiency Improvement Sofiyan Dwi SUSILO; Andhika Dwipradipta TRISTANTO; Wahyu PRASETYA; Munirul ICHWAN; Fernando SIHOTANG; Indo INTAN; Andrea Stevens KARNYOTO
International Journal of Environmental, Sustainability, and Social Science Vol. 5 No. 3 (2024): International Journal of Environmental, Sustainability, and Social Science (May
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/ijesss.v5i3.1082

Abstract

PT PLN Nusantara Power Unit Pembangkit Tanjung Awar-Awar (UPTA) is a state-owned company that supplies electricity to areas of Java and Bali. Using coal as the main fuel, UPTA currently has two mills that each has capacity of 350 MW in coal-fired mode. Since the last few years, UPTA has been focusing on bringing efficiency into its overall operations, maximizing efforts for an improved output, modernizing machinery, and reducing emissions. After conducting routine inspection and examinations, UPTA decided to improve the air preheating element, so-called air preheater (APH), as an enabling condition to heat both the primary and secondary air to a temperature required for effective combustion in a boiler. To seek for an optimal APH, a redesign project was initiated to primarily change the element profile from a distorted wavy flow path to a linear flow path. The profile surface was coated with an added "enamel" layer, which prevents ash from adhering readily. Our measurements and calculations were based upon the data collected in October 2022 (pre- implementation) and within the periods of February to June 2023 (post-implementation). As a result, the average power consumption was reduced: from over 1740 kWh per month to become around 1377 - 1535 kWh per month, or 11% - 21%, for the induced draft fan (ID Fan) and from over 1900 kWh per month to become around 1450 - 1542 kWh per month, or 19% - 29%, for the primary air fan (PA Fan).
Pengukuran Kualitas Layanan Game Edukasi Penanggulangan Bencana Banjir Menggunakan Standar Model ISO/IEC 9126 Rismayani, Rismayani; Nurani, Nurani; Pineng, Martina; Herlinda, Herlinda; Intan, Indo
Jurnal Eksplora Informatika Vol 11 No 2 (2022): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v11i2.867

Abstract

Game edukasi penanggulangan bencana banjir merupakan Game yang telah dirancang oleh penulis pada tahun 2019 bekerja sama dengan Badan Penanggulangan Bencana Daerah Kota Makassar. Game edukasi penanggulangan bencana banjir ini ditunjukkan bagi masyarakat Kota Makassar yang terkena dampak banjir, agar dapat mengetahui langkah apa yang harus dilakukan jika terjadi bencana banjir. manajemen bencana menggunakan model standar ISO/IEC 9126. Metode yang digunakan untuk mengukur kualitas pendidikan game adalah model standar ISO/IEC 9126, standar ISO/IEC 9126 merupakan bagian dari standar ISO 9000 yang merupakan standar terpenting dalam bidang penjaminan mutu berupa totalitas. perangkat lunak yang terdiri dari fungsionalitas, keandalan, kegunaan, efisiensi, pemeliharaan, dan portabilitas. Hasil kajian berdasarkan model standar ISO/IEC 9126 adalah pengukuran masing-masing indikator dengan hasil 1,4% sangat tidak setuju, 2,8% tidak setuju, 84,1% setuju dan 11,7% sangat setuju.
Application of General Regression Neural Network Algorithm in Data Mining for Predicting Glass Sales and Inventory Quantity Suryani, Suryani; Intan, Indo; Mochtar Yunus, Farhan; Haris, Adammas; Faizal, Faizal; Nurdiansah, Nurdiansah
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1562.229-239

Abstract

FF Jaya Glass is a shop that supplies and installs 3 mm to 12 mm glass. The store obtained glass from suppliers to be processed in shape and size according to customers’ order. After completing the customer's order, the shop worker will install the glass at the requested location. Unfortunately, currently stores do not utilize sales data to predict sales either manually or by utilizing technology. As a result, the store cannot predict when the number of glass orders will increase or decrease. In addition, errors often occur when ordering glass for the next period. As a result, stores often run out of glass supplies due to the large number of glass orders so that the achievement of profits is not optimal. This study aims to identify sales variables in glass sales data and build a general regression neural network model as a data mining method. In addition, this study aims to iterate to find the best value in the sales data training process, design and create applications according to user needs, and conduct system validation tests. The general regression neural network method is used to predict sales. The results of this study indicate that the application of general regression neural networks can be used to predict sales. This will make it easier for the store to provide glass supplies in the coming months with an accuracy of 98.1%.
Karst Ecosystem Restoration in the Nglirip Cave Nature Reserve with Endemic Plants KARNYOTO, Andrea Stevens; KURNIAWAN, Yunan; SARI, Rahayu Eka; ILAHI, Nauvani Rahma; MARDHIATI, Citra Asmo; HERMAWAN, Asharviyan Ridzky; ICHWAN, Munirul; RAPA, Charnia Iradat; INTAN, Indo
International Journal of Environmental, Sustainability, and Social Science Vol. 6 No. 4 (2025): International Journal of Environmental, Sustainability, and Social Science (Jul
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/ijesss.v6i4.1581

Abstract

The karst ecosystem of the Nglirip Cave Nature Reserve in Tuban Regency, East Java, plays a vital role as a water reservoir, carbon sink, and biodiversity hub. However, uncontrolled deforestation and human activities have disrupted the ecological balance, threatening the flora and fauna, as well as the local groundwater reserves. This study documents a collaborative restoration program initiated by PT PLN Nusantara Power Unit Pembangkit Tanjung Awar-Awar (UPTA), in partnership with the East Java BBKSDA (National Resources Conservation Agency) and the Tuban Regency Environmental Agency. The program aimed to rehabilitate the karst ecosystem through the planting of 1,000 endemic trees, which are Ficus benjamina and Ficus macrocarpa. These trees were chosen for their high-water absorption capacity and ecological suitability to the Nglirip Cave Nature Reserve. We implemented an innovative protection technique called “Ficus in Shield” by constructing cylindrical galvanized sheet metal under the tree trunks. This procedure was implemented to protect the saplings from damage by porcupines. The results show a measurable increase in biodiversity, evidenced by an increase in the Shannon-Wiener Biodiversity Index, and are expected to improve groundwater retention and ecosystem resilience. Beyond the ecological benefits, this initiative emphasizes the importance of public-private collaboration in biodiversity conservation and climate resilience. These findings highlight that endemic-based reforestation, combined with adaptive protection methods, is expected to effectively restore longdegraded karst ecosystems and serve as a model for sustainable conservation both in the Nglirip Cave Nature Reserve and elsewhere.
Co-Authors Andhika Dwipradipta TRISTANTO Andrea Stevens Karnyoto Ardimansyah Ardimansyah Arif Eko PRASETYO Aswar TC. Koswara Azza Farakhiyah Diah Larasati Umar Jaya Faizal Faizal, Faizal Fernando SIHOTANG Fitriaty Pangerang Haris, Adammas Herlinda Herlinda, Herlinda HERMAWAN, Asharviyan Ridzky ICHWAN, Munirul ILAHI, Nauvani Rahma Johan Tandean Karnyoto, Andrea Stevens Kurniawan, Yunan MARDHIATI, Citra Asmo Martina Pineng Mochtar Yunus, Farhan Muhammad Alamsyah Munirul ICHWAN nfn Nurlina Nurani Nurani Nurdiansah, Nurdiansah Nurdin Nurdin Rapa, Charnia Iradat Rhadi Indrawan Rismayani Rismayani Sari, Rahayu Eka Sofiyan Dwi SUSILO Sofiyan Dwi SUSILO ST. Aminah Dinayati Ghani Suci Ramadhani Arifin Suryani Suryani Wahyu PRASETYA Wawan SETYAWAN Wiranto Arismunandar