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All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya J@TI (TEKNIK INDUSTRI) Jurnal Pendidikan Humaniora Journal of Engineering and Management in Industrial System Jurnal Ilmiah Teknik Industri JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Journal of Mechanical Engineering Science and Technology JPSE (Journal of Physical Science and Engineering) Briliant: Jurnal Riset dan Konseptual Knowledge Engineering and Data Science PERFORMA : Media Ilmiah Teknik Industri Journal of Research and Technology Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Civil Engineering Dimension JURNAL REKAYASA TEKNOLOGI INFORMASI BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia Industri Inovatif : Jurnal Teknik Industri Jurnal Teknologi Informasi dan Pendidikan Buletin Ilmiah Sarjana Teknik Elektro Matrik : Jurnal Manajemen dan Teknik Industri Produksi Jurnal Pengabdian, Pendidikan dan Teknologi Jurnal Graha Pengabdian Jurnal Pengabdian kepada Masyarakat Nusantara Insyst : Journal of Intelligent System and Computation International Journal of Industrial Engineering and Engineering Management Automotive Experiences PERWIRA - Jurnal Pendidikan Kewirausahaan Indonesia GIAT: Teknologi untuk Masyarakat Jurnal Ilmiah Swara MaNajemen (Swara Mahasiswa Manajemen) Jurnal Inovasi Teknologi dan Edukasi Teknik Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Spektrum Industri
Aisyah Larasati
Universitas Negeri Malang
Aerospace Engineering Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation Other

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Sosialisasi Program Sekolah Siaga Bencana guna Meningkatkan Kemampuan Kesiapsiagaan terhadap Bencana Nurdiansyah, Rudi; Komara Mindarta, Erwin; Larasati, Aisyah; Eridani Budi Darmawan, Vertic; Widowati, Tamara Rahma; Haque, Salma Ayu; Azzahra, Prestika Dilla
Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Vol. 4, No. 1: March 2025
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.adipati.2025.v4i1.6863

Abstract

Kabupaten Tuban memiliki tingkat risiko bencana yang tinggi, terutama bencana hidrometeorologi yang dipengaruhi oleh Sungai Bengawan Solo. Jenis bencana yang sering terjadi di antaranya banjir, kekeringan, cuaca ekstrem, dan tanah longsor. Untuk mengurangi dampak bencana, Pemerintah Kabupaten Tuban telah mendorong berbagai upaya mitigasi, termasuk sosialisasi kesiapsiagaan di lingkungan sekolah melalui Program Sekolah Siaga Bencana. Kegiatan sosialisasi di SMKN Palang Tuban bertujuan untuk meningkatkan kesadaran dan kesiapsiagaan siswa, guru, serta staf sekolah dalam menghadapi bencana. Metode yang digunakan dalam kegiatan ini meliputi ceramah, diskusi interaktif, serta pemutaran video simulasi. Hasil kegiatan menunjukkan bahwa mayoritas peserta belum memiliki pemahaman yang memadai tentang mitigasi bencana sebelumnya, sehingga sosialisasi ini menjadi langkah penting dalam mengisi kesenjangan pengetahuan dan keterampilan. Program ini menjadikan seluruh elemen sekolah dapat lebih siap menghadapi situasi darurat, memahami langkah-langkah evakuasi, serta memiliki keterampilan tanggap bencana yang baik. Keberlanjutan sosialisasi dan pelatihan serupa sangat diperlukan untuk menjadikan lingkungan sekolah lebih aman dan tangguh terhadap ancaman bencana.
PEMS-on board and E3 Modeling: A Comparison between Real-World Measurement and Emissions Estimates from Construction Equipment Apif M. Hajji M. Hajji; Aisyah Larasati; Michael P. Lewis; Huang Yue
Civil Engineering Dimension Vol. 21 No. 2 (2019): SEPTEMBER 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.17 KB) | DOI: 10.9744/ced.21.2.59-65

Abstract

Vehicles in construction industry are typically powered by diesel engines and are considered to be an off-road source of air pollution. Air pollutant emissions include nitrogen oxides (NOx), particulate matter (PM), hydrocarbons (HC), and carbon monoxide (CO). Any engine that combusts a nonrenewable carbonaceous fuel will have net emissions of carbon dioxide (CO2). Economic-Energy-Environmental (E3) model, a statistical-modeled tool, is developed by combining a multiple linear regression (MLR) approach for modeling equipment productivity with the emissions calculation algorithm from Environment Protection Agency (EPA)’s NONROAD model. This paper compares emissions data between the field data to E3 model outputs, and  determines the similarity of the two sources of fuel use data. It is expected the two data are not narrowly similar since the field data are for individual vehicles, while E3 results are based on NONROAD model, which was intended to estimate average fuel use for a fleet of Heavy-Duty Diesel (HDD) equipment.
Comparative Analysis of Large Red Chili Price Forecasting Models in Malang Regency Using Long Short-Term Memory (LSTM) and Autoregressive Integrated Moving Average (ARIMA) Indrawan, Yogi Fradika; Larasati, Aisyah; Purnama, Agus Rachmad; Sholikha, Nikmatus
Intelligent System and Computation Vol 7 No 1 (2025): INSYST: Journal of Intelligent System and Computation
Publisher : Institut Sains dan Teknologi Terpadu Surabaya (d/h Sekolah Tinggi Teknik Surabaya)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52985/insyst.v7i1.419

Abstract

Large red chili is a strategic food commodity with high demand, yet its price often fluctuates due to factors such as weather, harvest seasons, and market dynamics. In Malang Regency, these fluctuations impact inflation and economic stability, necessitating an accurate forecasting model to support decision-making. This study aims to develop a price forecasting model using Long Short-Term Memory (LSTM) and Autoregressive Integrated Moving Average (ARIMA) methods and compare their performance using daily time series data on large red chili prices from January 2022 to August 2024, obtained from the Representative Office of Bank Indonesia in Malang. The data underwent preprocessing, where LSTM data was transformed using MinMaxScaler, while ARIMA data was differenced to meet stationarity assumptions, then split into 80% training and 20% testing data, with optimal parameters obtained through Grid Search for both models. The results show that the LSTM model with three layers (150, 150, 150 units) and a dropout of 0.2 achieved an RMSE of 2.326 and MAPE of 3.65%, whereas the best ARIMA configuration (4,1,3) achieved an RMSE of 2.455 and MAPE of 3.80%. Although both models performed competitively and yielded promising results, LSTM demonstrated superior accuracy in forecasting large red chili prices in dynamic market conditions.
Pengukuran Efektivitas Media Endorsement dengan Menggunakan Social Media Analytic Sebagai Formulasi Strategi Peningkatan Penjualan pada UMKM Larasati, Aisyah; Dwiastuti, Anik; Sholikha, Nikmatus; Trias Salsabila, Titalia; Fauziah, Taznim
GIAT : Teknologi untuk Masyarakat Vol. 4 No. 1 (2025): Mei 2025
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/giat.v4i1.11207

Abstract

“Lubnaa Fud en Drings” merupakan usaha dengan skala industri rumah tangga yang menjual dan memasarkan produknya melalui social media seperti Instagram dan menerima pesanan melalui Whatsapp. Produk dari “Lubnaa Fud en Drings” meliputi vietnam spring roll, salad buah, sandwich, frozen food (chicken roll dan rolade), dan cistik yang dibuat secara homemade dengan kualitas terjamin karena semua bahan baku dibeli dan diolah secara mandiri oleh pemilik usaha. Selama ini, sistem marketing yang dilakukan “Lubnaa Fud en Drings” hanya mengandalkan Instagram dan Whatsapp yang belum dimanfaatkan secara optimal untuk meningkatkan penjualan. Selain itu, social media yang digunakan belum pernah dianalisis dan digunakan untuk mengenali lebih jauh karakteristik pelanggan dan pelanggan potensial dari “Lubnaa Fud en Drings”. Pemanfaatan social media dapat berupa endorsement yang berguna untuk memperluas jaringan pemasaran produk. Social media analytic digunakan untuk menganalisis traffic komunikasi dari social media “Lubnaa Fud en Drings” yang dapat dimanfaatkan untuk mendapatkan insight information terkait karakteristik pengunjung social media “Lubnaa Fud en Drings”.
Sentiment Analysis About Acquisition and Policy of X (Twitter) by Elon Musk Fatimatuzzahro, Adelia; Larasati, Aisyah; Dwiastuti, Anik
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.901

Abstract

Social media Twitter (now X) is quite popular because it offers the ability to communicate between users and accelerate the flow of information obtained. In its development, the acquisition of the company by Elon Musk led to various changes. Some of the new policies had a direct impact on users and caused mixed reactions. This research applies a comparison between the two types of labeling techniques using TextBlob and VADER, a comparison of algorithms using Random Forest and Balanced Random Forest, as well as the use of algorithm parameters by default and Grid Search, to find information on user perceptions of the impact of the acquisition and new policy X by conducting sentiment analysis. The data used is the result of crawling X's post in the period from the emergence of the acquisition issue until the rebranding of the Twitter name and logo to X, namely April 25, 2022 to July 23, 2023. The results show that visually, these three factors have an accuracy level that shows the use of superior factors, namely TextBlob, Balanced Random Forest, and default parameters, whose combination obtained the highest accuracy value of 87%. The results of sentiment classification using two labeling techniques show that positive sentiment is greater than negative sentiment. However, in negative sentiment there are several problems based on the highest frequency of words that appear. So in this study, several recommendations are given that can be done to meet the expectations of user satisfaction with the X platform.
Perbandingan Algoritma Temporal Convolutional Neural (TCN) dan Long Short-term Memory (LSTM) untuk Memprediksi Harga Saham Menggunakan Time Series Data Putra, Ryan Syahriel Maulana; Larasati, Aisyah; Salsabila, Titalia Trias; Oktavia, Andiny Trie
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 9, No 3 (2025): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v9i3.21683

Abstract

Penelitian ini bertujuan untuk memberikan wawasan tambahan bagi investor yang berinvestasi di pasar modal dengan membandingkan Algoritma TCN dan LSTM dalam memprediksi data deret waktu. Data yang digunakan mencankup periode 1 Januari 2023 hingga 31 Desember 2023 dan diambil dari Yahoo Finance, dengan variabel-variable seperti harga pembukaan, penutupan, dan volume. Proses penelitian melibatkan pembersihan data, pembagian data latih dan uji, serta pemodelan dengan pencarian parameter optimal menggunakan Hyperband. Hasil menunjukan bahwa TCN lebih efisien dengan RSME sebesar 167.06 dan MAPE 2,58%, sementara LSTM memperoleh RMSE 467.52 dan MAPE 7,05% dengan waktu peltihan TCN yang lebih singkat (40.8 detik) dibandingkan LSTM (252.5 detik).
Optimalisasi Aspek Teknis Kawasan Desa Wisata Watulimo, Kecamatan Watulimo, Kabupaten Trenggalek Hajji, Apif M.; Prabawati, Lucky; Larasati, Aisyah; Malta R, Viola
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 1.1 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) SPECIAL ISSUE
Publisher : Lembaga Dongan Dosen

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

Abstract

Kabupaten Trenggalek merupakan bagian dari Provinsi Jawa Timur, wilayah Trenggalek yang berada di wilayah Barat dari Propinsi Jawa Timur berada pada lintas jalur selatan Jawa, memiliki pantai, dataran rendah dan pegunungan, memiliki potensi sumber daya alam di darat dan laut. Keindahan alam pegunungan di Kabupaten Trenggalek dan pantai-pantai yang selama ini menjadi kawasan wisata bahari dan wisata alam perlu diintegrasikan agar mendukung kegiatan pariwisata di Kabupaten Trenggalek. Pengembangan kawasan wisata pantai dan alam dapat disinergikan dengan wisata budaya dan religi bekerja sama dengan Pemerintah Provinsi Jawa Timur, Pemerintah Daerah lain dan investor. Salah satu desa yang berpotensi menjadi desa wisata adalah desa Watulimo kecamatan Watulimo Kabupaten Trenggalek. Pengembangan Desa Wisata Watulimo memerlukan kajian kelayakan teknis untuk mengetahui kelayakan rencana pembangunan desa tersebut. Analisis kelayakan teknis/operasional diperlukan supaya Desa Wisata Watulimo layak dipasarkan bersaing unggul dengan desa wisata disekitarnya dan pembangunannya tepat sasaran.
A Sentiment Analysis Using Fuzzy Support Vector Machine Algorithm Larasati, Aisyah; Susanto, Yohana Ruth Wulan Natalia; Mohamad, Effendi; Purnama, Agus Rachmad
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9363

Abstract

The Ministry of Communication and Information and the Ministry of BUMN of The Republic of Indonesia designed a mobile app “Peduli Lindungi” to be used to help the public and related government agencies in carrying out screening and tracing people's movement to stop the spread of Corona Virus Disease (Covid-19).The existence of a mobile app, “Peduli Lindungi” triggers abundant different sentiments from the Indonesian community, either positive or negative sentiments. Based on the positive sentiment, the government of the Republic of Indonesia may have some feedback about the aspects of the app that should be maintained. In contrast, negative sentiments can be used as initial points of the potential improvement of the mobile app. This study applies a Fuzzy Support Vector Machine (FSVM) model to classify the user's reviews on Peduli Lindungi Application. FSVM can classify customers’ reviews into two or more classes and relatively results in higher accuracy than other classification approaches. The results of this study indicate that the classification of reviews with FSVM produces quite good accuracy  with a value of 77%. A total correct prediction is 2192 reviews out of 2813 reviews.
Pengukuran Efektivitas Media Endorsement dengan Menggunakan Social Media Analytic Sebagai Formulasi Strategi Peningkatan Penjualan pada UMKM Larasati, Aisyah; Dwiastuti, Anik; Sholikha, Nikmatus; Trias Salsabila, Titalia; Fauziah, Taznim
GIAT : Jurnal Teknologi untuk Masyarakat Vol. 4 No. 1 (2025): Mei 2025
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/giat.v4i1.11207

Abstract

“Lubnaa Fud en Drings” merupakan usaha dengan skala industri rumah tangga yang menjual dan memasarkan produknya melalui social media seperti Instagram dan menerima pesanan melalui Whatsapp. Produk dari “Lubnaa Fud en Drings” meliputi vietnam spring roll, salad buah, sandwich, frozen food (chicken roll dan rolade), dan cistik yang dibuat secara homemade dengan kualitas terjamin karena semua bahan baku dibeli dan diolah secara mandiri oleh pemilik usaha. Selama ini, sistem marketing yang dilakukan “Lubnaa Fud en Drings” hanya mengandalkan Instagram dan Whatsapp yang belum dimanfaatkan secara optimal untuk meningkatkan penjualan. Selain itu, social media yang digunakan belum pernah dianalisis dan digunakan untuk mengenali lebih jauh karakteristik pelanggan dan pelanggan potensial dari “Lubnaa Fud en Drings”. Pemanfaatan social media dapat berupa endorsement yang berguna untuk memperluas jaringan pemasaran produk. Social media analytic digunakan untuk menganalisis traffic komunikasi dari social media “Lubnaa Fud en Drings” yang dapat dimanfaatkan untuk mendapatkan insight information terkait karakteristik pengunjung social media “Lubnaa Fud en Drings”.
Analisis Kelayakan Aspek Pasar dan Aspek Finansial Pada Proyek Optimalisasi Desa Wisata Watulimo, Kabupaten Trenggalek Prabawati, Lucky; Hajji, Apif Miptahul; Larasati, Aisyah
BRILIANT: Jurnal Riset dan Konseptual Vol 9 No 2 (2024): Volume 9 Nomor 2, Mei 2024
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v9i2.1696

Abstract

A feasibility study is a business project analysis of whether or not a project is feasible to carry out continuously profitably. The feasibility study has 7 aspects for investors to consider when investing in the project. The planning for the Watulimo tourist village has gone through master plan planning so it requires a feasibility study to attract investors to invest their funds. This research focuses on market aspects and quantitative financial aspects. In the market aspect, researchers use a questionnaire to determine the characteristics of tourists regarding their decision to visit. Respondents were 30 people with an age range of 13 - 18 years. Apart from that, they also predicted the number of visitors in the future. In the financial aspect, researchers use the NPV, PP and IRR methods as indicators of project feasibility. From the results of data processing, it was obtained that the market aspect of the decision to visit was influenced by psychological factors by 89.3% > other factors. The forecasting method uses the time series trend method with a double moving average model. From this model, the results show that the number of visitors will continue to increase every year. In the financial aspect, the NPV results in stages 1 and 2 were positive, the PP calculation in stage 1 was <the economic age of the building, but in stage 2 the PP was predicted to be > the economic age of the building. Meanwhile, the IRR calculation method for both stages 1 and 2 exceeds the specified interest rate (9%).
Co-Authors Abdul Muid Abdul Muid Adithya Sudiarno Afridasari, Mayang Fikri Agus Rachmad Purnama Ahmad Murtaja Dzaky Ma’arij Amanda Eka Putri Aminnudin, Aminnudin Apif M. Hajji Apif Miptahul Hajji Azrul Abdul Rahman Azzahra, Prestika Dilla Benzfica Hanif Alfi Al Idrus Chen, Yuh-Wen Dewi Hardiningtyas Diva Odilia Shafitri Dwiastuti, Anik Effendi Bin Mohamad Eridani Budi Darmawan, Vertic Erwin Komara Mindarta Fathullah, Muhammad Fatimatuzzahro, Adelia Fauziah, Taznim Hajji, Apif M. Hanif, Benzfica Haque, Salma Ayu Hary Suswanto Heru Setiyo Cahyono Heru Suryanto Huang Yue Ihwan Hamdala Imam Alfianto Indra, Sofiandi Dwi Indrawan, Yogi Fradika Ishardita Pambudi Tama Issutarti Issutarti Issutarti Issutarti, Issutarti Jibril Maulana Khaznahar, Vitmaya khusnul khotimah Laili Hidayati Le, Trung Lucia Andriani Pranita Mahsuli, Taufiq Malta R, Viola Maren, Raretha Marsono Marsono Michael P. Lewis Michael P. Lewis Moekti, M. Rhessal Chandra Mohamad Yogi Hertanto Mohamad, Effendi Muhamad Muhajir Mu’id, Abdul Nikmatus Sholikha, Nikmatus Nugraha, Cahya Nurdiansyah Rudi Nurismalatri Nurismalatri Oktavia, Andiny Trie Prabawati, Lucky Pramudya, Henang Duta Puji Rahmawati Purnomo Hadi Susilo, Purnomo Hadi Putra, Ryan Syahriel Maulana Putranto, Akhsana Naufal Putro, Dilla Praditya Hutomo Retno Wulandari Rina Rifqie Mariana Rinawan, Rangga Bayu Rizqi Prayoga Editya Rosa Putri Pertiwi Sahal, Ahmad Salsabila, Titalia Trias Santoso, Gilang Aditya Setiyono Setiyono Siregar, Ivana Maretha Soufhwee Abdul Rahman Suci Qolbiah supawi pawenang Susanto, Yohana Ruth Wulan Natalia Syah, Yasifun Ardian Teruaki Ito Titi Mutiara Kiranawati Trias Salsabila, Titalia Tuwoso Vania, Nur Izza Vertic Eridani Vertic Eridani Budi Darmawan Widi Rimastuti Widowati, Tamara Rahma Yudistira, Febrina Dzuldah